assignment in images

10 Photo Assignments to Inspire and Challenge Your Skills

Liz Masoner is a professional photographer and she shares her tips and techniques on photo editing and how to photograph nature, portraits, and events with film and digital cameras. Liz has over 30 years of experience and she is the author of three books on photography.

The best way to learn photography is to practice, though sometimes you can get stuck in a rut and not know what to shoot. That is why photographers love assignments; they give us a purpose and an idea of what to photograph. 

Why Are Assignments Important?

Self-assignments are key to any photographer's growth. Even professionals with decades of experience will work on personal assignments that they may never get paid for. The goal of any self-assignment is to spur creativity, solve problems, learn new techniques, and challenge yourself.

As you start out in photography, you're probably filled with excitement and ready to shoot anything you can. That being said, sometimes a little direction and guidance are necessary.

Below, you will find ten photography assignments. Each covers a new topic, skill, or concept and they were chosen to help you learn how to see as a photographer. They are meant to be a personal challenge that you can complete at your own pace and with no outside judgment, simply as a means to practice and improve your photography. Hopefully, you will learn something new with each assignment and be able to use that in every photograph you take in the future.

Remember when composing your images to keep in mind the basics: the rule of thirds,  shutter speed , aperture,  depth of field , and  exposure .

Assignment #1: Up Close

This assignment encourages you to get close and personal with your subject. It is an exercise in viewing a common object in a new way and examining its finer details.

• Choose an object that you see or interact with every day.
• Focus on a small part of it, get as close as your camera will allow you to focus, and shoot away.
• Try to capture different angles and unusual lighting to add to the mystery of this tiny world.

From the whiskers of your cat to a fragile Christmas ornament, and even common soap bubbles, there is an entire world that we often overlook because we don't get close enough.

Assignment #2: Motion

Photography is a static medium which means that it doesn't move. Conveying a sense of motion is often crucial to capturing a scene or emotion and it is an essential skill for photographers to practice.

The goal of this exercise is to understand how shutter speeds can be used to convey motion.

• Choose a subject or series of subjects that will allow you to convey motion in your images.
• It can be slow motions, like that of a turtle, or fast motion, like a speeding train.
• Blur it, stop it, or simply suggest that there is motion in the photograph.

Challenge yourself to capture the same motion in different ways. For instance, you might go to a race track and stop the movement of the cars completely in one image, then leave the shutter open and allow them to blur out of the frame in the next. 

Assignment #3: Shadows

Shadows are everywhere and they are vital to photography because this is the art of capturing light. With light comes shadows and when you begin to look at shadows as a photographer, your world will open up.

• Take a look around for shadows and record them with your camera.
• You could show the shadow as the total focus of the image. Perhaps the shadow is incidental to the subject.
• Is the shadow natural or created by flash?

Shadows are integral to creating depth in a two-dimensional medium such as photography. Take some time to seriously explore the "dark side" of the light.

Assignment #4: Water

Water is everywhere in photography and it presents many challenges. There are reflections and movements to work with and in this exercise, you will take a deeper look at water.

• Find water anywhere: lakes, streams, puddles, even the glass on your kitchen table.
• Pay attention to reflections and use them to your advantage in the photographs. Use this opportunity to get familiar with a polarizing filter (a very useful tool in your camera kit) so you can accentuate or eliminate reflections.
• Play with the motion of a stream or the crashing waves. Notice the difference between stopping the flow of water and allowing it to blur to create a real sense of movement.

Be sure to make water the subject and not an accent to the image. Water alone is beautiful and mysterious and your challenge is to explore all of its potential as a subject.

Assignment #5: Leading Lines

A classic assignment in photography schools, 'leading lines ' is a popular and fun subject. The goal of this assignment is to learn how to direct the viewer to your subject using lines.

• Choose a subject then look around for lines in the scene that you can use to 'lead' the viewer to the subject. 
• Find an interesting line then determine what the subject of your photograph is.
• Remember that lines can be man-made or natural. For instance, the yellow line down the middle of the road or a tree branch. Even a person's arm can be a leading line of their face.

Use this assignment as an excuse to take an afternoon photo excursion. Walk downtown or in the woods and look around you for interesting lines that lead the eye to a subject. There is an amazing assortment of lines out there in the world and once you begin to see them, you won't be able to stop. 

Assignment #6: Perspective

How do you normally stand when you shoot? If your answer is straight up like a 5-foot-something human being then this assignment is for you. The perspective assignment challenges you to view the world from an entirely new perspective, which in turn gives the viewer a new look at the ordinary.

• Take another afternoon or evening for a photo excursion wherever you like.
• This time, every time you find something to photograph, stop!
• Ask yourself: How would a squirrel see that tree? How would a robin view that birdbath? How would a snake view that log?
• Take your photographs from very high or very low angles. Get on your belly or stand on a chair, whatever you have to (safely) do to get the 'right' angle on your subject.

If you pay attention to professional photographs, many of the images that have the WOW factor are photographed from extreme angles. People enjoy these photos because they've never seen an object from that viewpoint. It is new and unique, and you can train yourself to shoot with this in mind.

Assignment #7: Texture

You may have captured a few textural details in the 'Up Close' assignment, but this assignment takes that to the next level. The goal in this one is to study textures and forget about the object itself: the texture becomes the subject. You will also begin to realize how light affects the appearance of texture.

• Find a few objects that have very detailed textures like trees or rocks, even knit sweaters or woven rugs.
• Photograph them as close as your lens will allow.
• Use different angles and capture the same texture as the light changes. Notice how the different lighting directions and camera angles can change how much texture appears.

Textures are all around us and many of the best photographs in the world play up the textural element. This assignment should teach you how to recognize and accentuate those elements in your photos.

Assignment #8: Color Harmony

Color is important to photography because the world is full of color. This exercise requires a bit of study in color theory, which you will then put into practice in your photographs.

Do you remember art class in elementary school? You may have learned that yellow and blue make green, but color theory goes beyond that. There are cool and warm colors, complementary and contrasting colors, neutral colors, and bold colors.

It can get quite complicated, and photographers should have a basic understanding of color so you can use that when composing photographs. You don't have to study color like a painter would but can use tricks used by interior designers to influence your color decisions.

• Once you have an idea of color theory, take another photo excursion and put what you've learned into practice.
• Capture photographs with the primary or tertiary colors.
• Look for complementary colors then contrasting colors to photograph.
• Try finding a scene to photograph that is filled with neutral colors, then one that uses a bold color to 'pop' from the scene.

This is an advanced lesson, but one that any photographer working with color images will find useful. As you practice working with colors, it will become second nature and you will know how to work with color to change the feel of your images.

Assignment #9: Emotions

Take a photo of a person smiling or scowling, right? Not so. The intent of this assignment is to convey emotion in photographs  without  a face.

• Take photographs that express each of the basic emotions: happy, sad, and mad.
• How would you express the feeling of anger with no person? What about happiness? Sadness?

This is a purely conceptual assignment, but it is important to be able to relay emotion in your photographs and you might not always have a person available to do that with. Challenge yourself to think deeper about this one.

Assignment #10: Don't Look!

Are you ready to put your photography skills to the test? In today's world of digital cameras and the ability to see image captures right there on the LCD screen, photographers are losing some of the skills needed to visualize a photograph.

In this assignment, your challenge is to shoot as if you were using a film camera. That means that you will not look at the photographs you've taken until they are downloaded on your computer. Instead of relying on the camera's screen to see if you 'got the shot' you will rely on your instinct and knowledge, just like photographers did before digital photography. Can you do it?

• Plan a photo excursion to a particular location and permit yourself to photograph only 36 images (a roll of 35mm film).
• Turn off your camera's LCD screen so it does not show you the image after you have taken it.
• If you cannot turn off the camera's screen, cut a piece of thick paper and tape it over the screen. Use masking or painter's tape so you don't leave a residue on the back of your camera.
• Go out and shoot your 36 frames, thinking carefully about each image because you don't have an endless number of shots. Bonus points if you turn your camera to completely manual settings for focus and exposure.
• Don't peek at your photos until you get home and download them.

How did you do? Were you able to get good exposures on your own? How did it feel to be 'blind' and not know how your image turned out right away? 

This is similar to what it is like to shoot with film and it does require you to think harder about every image you take. Next time you shoot, slow down and pay attention, pretend that the screen is not there and rely on your own skills to create a great image. You will be a better photographer in the end.

Browse premium images on iStock | 20% off at iStock

Make something awesome

• Staff Directory
• Workshops and Events
• For Students

Creative Assignments: Teaching with Images – Part 1

by Cosette Bruhns | Dec 17, 2019 | Instructional design , Services | 1 comment

Photo by Christopher Flynn on Unsplash

Images (e.g. photographs, illustrations, and visual metaphors) can facilitate student engagement and understanding in classroom assignments by making abstract concepts tangible and providing a different way of illustrating arguments to students. Instructors can assign images as submission requirements in order to encourage students to draw connections across boundaries and disciplines through a visual lens. Used with care, images can also support inclusive teaching practices by inviting students to engage with course content through different points of view, facilitating student access to remote objects or collections, and increasing opportunities for students who excel at visual learning to participate fully in assignments. In these cases, images serve as a portal for engaging with course material through a different framework (i.e., not text- or audio-based). Finally, using images in assignments can invite students to exercise different aspects of critical thinking skills, like visual literacy and lateral thinking, by encouraging students to develop an argument about or relating to some aspect of an image.

A Few Examples

Here are some examples of how images can be incorporated into student assignments to help you get started. The assignment types are listed in order of shallow to steep learning curve.

Image Discussion Board Posts

Discussion board posts are often assigned by instructors in order to invite students to expand their thoughts on a course reading or discussion. One way instructors can continue to broaden student learning about a topic outside of the classroom creatively is by assigning an image submission in a discussion board. By assigning an image as a submission requirement instead of text, instructors can stimulate student imagination and facilitate student ability to make visual connections between different ideas.

For example, in a literature course on Ovid’s Metamorphoses , an instructor could assign an image submission as a way to invite students to think about how to visualize an allegorical theme or passage from the text. Students could submit images in response to the selected theme or passage, along with a short one- to two-sentence explanation for why the image is related to the original theme. When the class next meets, instructors can draw on their image responses to engage students visually and creatively by asking students to further explain their reasons for submitting their image and why they think it is related to the original theme or passage.

For this type of assignment, Canvas-supported tools like Discussion Board can help achieve this goal. Follow the instructions on the Canvas resource page for more on how to create assignments using Canvas Discussion Board.

Tip: When creating a discussion post, remember to select “Allow threaded replies” under Options, in order to let students respond to each other’s comments.

Image Annotation

Image annotation is the ability to mark up an image with text or visual symbols in order to highlight some aspect within the image. Applied to an assignment, instructors can use the idea of image annotation to introduce skills like visual literacy or visual analysis, by asking students to annotate images in order to make an argument about or pertaining to an image based on close analysis of an object or aspect of the original image. By emphasizing a specific aspect of an image, instructors can encourage students to think critically about the relationship between the image and concepts or themes addressed in class.

For example, in a class addressing early modern Italian art, an instructor could ask students to individually or collaboratively annotate an image of Duccio’s Maestà in order to analyze different historical, political, and theological themes represented in the painting. The instructor could create an assignment asking students to isolate specific elements of the painting, using annotation methods, in order to identify main themes to explore further through individual projects or in-class discussion, strengthening the relationship between the assignment and the course. It might be a useful exercise to create a working list of objects, ideas, or concepts identified through the image annotation assignment that students can build on during the course. In a course that examines multiple images, instructors could return to that set of student-produced themes to see how they are represented in other images representing the Madonna. By drawing connections between concepts and images, instructors can begin to introduce students to skills like visual literacy, which is important for interpreting, understanding, and making meaning from images.

There are a number of easy-to-use tools for image annotation that are readily available. Google Jamboard is an interactive whiteboard that can be shared with multiple students. Features of Google Jamboard include real-time collaboration and a number of creative drawing tools for visualizing ideas. In an image annotation assignment, students could share a Google Jamboard file with the class that creatively isolates an aspect of the original image in order to share an observation or build an argument about that image.

Ex. Duccio di Buoninsegna, Maestà , c. 1308-1311. Google Jamboard can be used to add simple mark-ups to an image as an assignment or in real-time. The bottom tool in the tool bar is a digital laser pointer that can be used during a presentation to highlight an aspect of an image. As part of the Google Suite, Google Jamboard files can be easily shared with multiple collaborators.

Where to To Find Image Resources

A number of images are available for use in teaching and student assignments through fair use laws. There is a list of resources for finding fair use images on the UChicago wiki tools page . Many images are also easily searchable on databases such as LUNA , the University of Chicago’s image collections database, the Getty Search Gateway , and the Met Collection , to name a few. Several museums participate in open access policies, allowing their public domain images to be downloaded, used, and reproduced for scholarly and educational purposes. For further information on fair use policies, reach out to the University of Chicago’s Copyright Information Center , or the Visual Resource Center , which provides support in researching images or digitizing and developing a collection of images for research and teaching.

Getting Help and Next Steps

If you are interested in using image exercises in your classroom or as assignments, contact Academic Technology Solutions for help. ATS instructional designers can help you create exercises that support your broader learning objectives and select the appropriate software tools to use in your class.

Stay tuned for Part 2, in which we will discuss digital exhibitions!

Thanks, Cosette, this is great. Take a look at WeVu for this too. Images and pdfs, with group annotation, with private and public replies to annotations. Can be used for whole-class dialogue about parts of images, or for assignments where students’ annotations are only seen by instructors.

Search Blog

Subscribe by email.

Please, insert a valid email.

Thank you, your email will be added to the mailing list once you click on the link in the confirmation email.

Spam protection has stopped this request. Please contact site owner for help.

This form is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Recent Posts

• Digitize Paper-Based Assignments with Gradescope
• Evaluate Different Lenses for Looking at AI in Teaching – Part Two
• Digital Tools and Critical Pedagogy: Design Your Course Materials with Neurodivergence in Mind
• Evaluate Different Lenses for Looking at AI in Teaching: Part One
• Improve Your Videos’ Accessibility with New Panopto Updates
• A/V Equipment
• Accessibility
• Canvas Features/Functions
• Digital Accessibility
• Faculty Success Stories
• Instructional design
• Multimedia Development
• Surveys and Feedback
• Symposium for Teaching with Technology
• Uncategorized
• Universal Design for Learning
• Visualization

We’re sorry, but Freepik doesn’t work properly without JavaScript enabled. FAQ Contact

• Notifications
• Go back Remove
• No notifications to show yet You’ll see useful information here soon. Stay tuned!
• Downloads 0/60 What is this?
• My collections
• My subscription

Find out what’s new on Freepik and get notified about the latest content updates and feature releases.

Homework Assignment Images

• Add to collection
• Save to Pinterest

• school test
• examination
• school class

• puzzle game
• playing game

• student studying
• student reading

• student study

• student with laptop
• technology woman

• online lesson
• online school
• home learning

• college students
• student book

• online learning
• online course
• learning illustration

• student writing
• boy studying

• creative kids
• children play

• school technology

• entrance exam

• adult education

• office workplace
• corporate office

• young entrepreneur
• office documents
• office woman

• back to school education
• back to school

• school exam
• exam preparation

• student work
• online student

• education illustration

• illustrations
• Study cartoon

• student exam

• online education

• document management
• office files

• kids learning

• student laptop

• students teenager
• school girl

• child sitting
• school kids

• teleworking
• remote work

• hand with pen
• hand pencil
• student desk

• woman worker
• female worker

• child writing
• child education

• japanese woman

• AI Generator

74,761 Writing Assignment Stock Photos & High-Res Pictures

Browse 74,761 writing assignment photos and images available, or start a new search to explore more photos and images..

• Images home
• Editorial home
• Editorial video
• Premium collections
• Entertainment
• Premium images
• AI generated images
• Curated collections
• Animals/Wildlife
• Backgrounds/Textures
• Beauty/Fashion
• Buildings/Landmarks
• Business/Finance
• Celebrities
• Food and Drink
• Healthcare/Medical
• Illustrations/Clip-Art
• Miscellaneous
• Parks/Outdoor
• Signs/Symbols
• Sports/Recreation
• Transportation
• All categories
• Shutterstock Select
• Shutterstock Elements
• Health Care
• Sound effects

PremiumBeat

• PixelSquid 3D objects
• Templates Home
• Instagram all
• Highlight covers
• Facebook all
• Carousel ads
• Cover photos
• Event covers
• Youtube all
• Channel Art
• Etsy big banner
• Etsy mini banner
• Etsy shop icon
• Pinterest all
• Pinterest pins
• Twitter All
• Twitter Banner
• Infographics
• Zoom backgrounds
• Announcements
• Certificates
• Gift Certificates
• Real Estate Flyer
• Travel Brochures
• Anniversary
• Baby Shower
• Mother's Day
• Thanksgiving
• All Invitations
• Party invitations
• Wedding invitations
• Book Covers
• About Creative Flow
• Start a design

AI image generator

• Photo editor
• Background remover
• Collage maker
• Resize image
• Color palettes

Color palette generator

• Image converter
• Creative AI
• Design tips
• Custom plans
• Request quote
• Shutterstock Studios
• Data licensing

You currently have 0 credits

See all plans

Image plans

With access to 400M+ photos, vectors, illustrations, and more. Includes AI generated images!

Video plans

A library of 28 million high quality video clips. Choose between packs and subscription.

Music plans

Download tracks one at a time, or get a subscription with unlimited downloads.

Editorial plans

Instant access to over 50 million images and videos for news, sports, and entertainment.

Includes templates, design tools, AI-powered recommendations, and much more.

English Assignment royalty-free images

1,861 english assignment stock photos, vectors, and illustrations are available royalty-free for download..

Our company

Press/Media

Investor relations

Shutterstock Blog

Popular searches

Stock Photos and Videos

Stock photos

Stock videos

Stock vectors

Editorial images

Featured photo collections

Sell your content

Affiliate/Reseller

International reseller

Live assignments

Rights and clearance

Website Terms of Use

Terms of Service

Privacy policy

Modern Slavery Statement

Cookie Preferences

Shutterstock.AI

AI style types

Shutterstock mobile app

Android app

© 2003-2024 Shutterstock, Inc.

• Ask a Librarian

Locating and Using Images for Presentations and Coursework

• Free & Open Source Images
• How to Cite Images
• Alt Text Image Descriptions

Copyright Resources

• Copyright Term and the Public Domain in the United States from Cornell University Library
• Copyright Overview from Purdue University
• U.S. Copyright Office
• Fair Use Evaluator
• Visual Resources Association's Statement of Fair Use of Images for Teaching, Research, and Study
• Creative Commons Licenses

Attribution

Again, the majority of images you find are under copyright and cannot be used without permission from the creator. There are exceptions with Fair Use, but this Libguide is intended to help you locate images you can use with attribution (and in some case, the images are free to use without attribution when stated, such as with stock images from pixabay). ***Please read about public domain . These images aren't under copyright, but it's still good practice to include attribution if the information is available. Attribution : the act of attributing something, especially the ascribing of a work (as of literature or art) to a particular author or artist. When you have given proper attribution, it means you have given the information necessary for people to know who the creator of the work is.

Citation General Guidelines

Include as much of the information below when citing images in a paper and formal presentations. Apply the appropriate citation style (see below for APA, MLA examples).

• Image creator's name (artist, photographer, etc.)
• Title of the image
• Date the image (or work represented by the image) was created
• Date the image was posted online
• Date of access (the date you accessed the online image)
• Institution (gallery, museum) where the image is located/owned (if applicable)
• Website and/or Database name

Citing Images in MLA, APA, Chicago, and IEEE

• Directions for citing in MLA, APA, and Chicago MLA: Citing images in-text, incorporating images into the text of your paper, works cited APA 6th ed.: Citing images in-text and reference list Chicago 17th ed.: Citing images footnotes and endnotes and bibliography from Simon Fraser University
• How to Cite Images Using IEEE from the SAIT Reg Erhardt Library
• Image, Photograph, or Related Artwork (IEEE) from the Rochester Institute of Technology Library

Citing Images in Your PPT

Currently, citing images in PPT is a bit of the Wild West. If details aren't provided by an instructor, there are a number of ways to cite. What's most important is that if the image is not a free stock image, you give credit to the author for the work. Here are some options:

1. Some sites, such as Creative Commons and Wikimedia, include the citation information with the image. Use that citation when available. Copy the citation and add under the image. For example, an image of a lake from Creative Commons has this citation next to it:  "lake"  by  barnyz  is licensed under  CC BY-NC-ND 2.0 .

2. Include a marker, such as Image 1. or Figure 1., and in the reference section, include full citation information with the corresponding number

3. Include a complete citation (whatever the required format, such as APA) below the image

4. Below the image, include the link to the online image location

5. Hyperlink the title of the image with the online image location

• << Previous: Free & Open Source Images
• Next: Alt Text Image Descriptions >>
• Last Edited: Jun 8, 2023 3:28 PM
• URL: https://guides.lib.purdue.edu/images

• Matlab Solutions for Biomedical Engineering Assignments

Biomedical Engineering Applications: Matlab Solutions for Assignments

Matlab, short for Matrix Laboratory, stands as a cornerstone tool in the realm of biomedical engineering, offering an array of functionalities crucial for tackling the complex challenges inherent to this interdisciplinary field. With its versatile capabilities in numerical computing, data analysis, and visualization, Matlab serves as a vital instrument empowering biomedical engineers to unravel the intricacies of biological systems, innovate medical technologies, and enhance healthcare outcomes. If you need assistance with your Matlab Assignment , there are numerous resources available to help you navigate its powerful capabilities for biomedical engineering applications.

In the realm of biomedical engineering, Matlab's significance reverberates across various domains, including but not limited to image processing, signal analysis, modeling, and data visualization. Its robust suite of toolboxes tailored specifically for biomedical applications equips practitioners with the tools needed to address diverse challenges, from processing intricate medical images to simulating physiological processes. Moreover, Matlab's user-friendly interface and extensive documentation streamline the development process, enabling researchers and students alike to swiftly implement complex algorithms and analyze vast datasets with ease.

The purpose of this blog post is to extend assistance with Matlab assignment commonly encountered in biomedical engineering curricula. By providing comprehensive solutions and insightful explanations, this blog aims to bridge the gap between theoretical concepts and practical implementation, empowering students to grasp key principles while honing their Matlab proficiency. Whether it's elucidating the intricacies of image segmentation algorithms for medical image analysis or simulating the dynamics of physiological systems using mathematical models, this blog endeavors to offer clear, concise, and practical solutions to common biomedical engineering assignments.

Within the realm of biomedical engineering, Matlab serves as a catalyst for innovation, facilitating the development of cutting-edge medical technologies and enhancing our understanding of complex biological phenomena. Its versatility extends to applications such as medical imaging, where Matlab algorithms are utilized for tasks ranging from noise reduction and feature extraction to the reconstruction of three-dimensional anatomical models from medical scans. In the domain of signal processing, Matlab's robust signal analysis toolboxes empower researchers to unravel meaningful insights from biomedical signals such as electrocardiograms (ECGs), electroencephalograms (EEGs), and electromyograms (EMGs), aiding in the diagnosis and monitoring of various medical conditions.

Matlab plays a pivotal role in the modeling and simulation of physiological systems, allowing biomedical engineers to construct computational models that mimic the behavior of biological processes with remarkable fidelity. From simulating the dynamics of cardiac electrophysiology to modeling the spread of infectious diseases within populations, Matlab facilitates the exploration and understanding of complex biomedical phenomena, paving the way for innovative solutions to real-world challenges in healthcare and biotechnology.

In summary, Matlab stands as an indispensable tool in the arsenal of biomedical engineers, empowering them to tackle a diverse array of challenges with precision and efficiency. Through this blog post, we aim to provide invaluable assistance with Matlab assignments commonly encountered in biomedical engineering curricula, equipping students with the knowledge and skills needed to excel in this dynamic and impactful field.

Image Processing in Biomedical Engineering

Matlab, renowned for its versatility and robustness, plays a pivotal role in image processing tasks within the realm of biomedical engineering. Through its comprehensive suite of functions and toolboxes tailored for image analysis, Matlab empowers researchers and engineers to manipulate, analyze, and extract valuable insights from biomedical images with unparalleled precision and efficiency.

In the domain of biomedical engineering, image processing serves as a cornerstone for various applications, ranging from diagnostic medical imaging to experimental analysis in research settings. For instance, in medical diagnostics, Matlab facilitates the enhancement and interpretation of medical images acquired through modalities like MRI, CT scans, and X-rays, enabling clinicians to accurately identify and diagnose abnormalities or diseases. Moreover, in biomedical research, Matlab aids in the analysis of microscopic images obtained from experiments, such as cell imaging and histopathology, fostering advancements in areas like drug discovery and tissue engineering.

Assignments related to image processing in biomedical engineering often encompass a spectrum of tasks aimed at extracting meaningful information from images to address specific research questions or clinical needs. These assignments may involve tasks such as noise reduction, segmentation, and feature extraction, each crucial for different stages of image analysis and interpretation. For instance, students might be tasked with developing algorithms in Matlab to denoise medical images by employing techniques like median filtering or wavelet denoising, thereby enhancing image quality for subsequent analysis.

Segmentation, another fundamental task in image processing, involves partitioning an image into meaningful regions or objects to facilitate further analysis. In the context of biomedical engineering, assignments might entail implementing segmentation algorithms in Matlab to delineate structures of interest within medical images, such as organs, tumors, or anatomical features. This facilitates quantitative analysis and measurements essential for diagnostic purposes or research investigations.

Furthermore, feature extraction plays a pivotal role in extracting relevant information or characteristics from images to enable subsequent analysis or classification tasks. Matlab facilitates the implementation of feature extraction techniques, such as texture analysis or shape descriptors, allowing students to extract discriminative features from biomedical images for tasks like disease classification or image-based phenotyping in research studies.

To illustrate, consider a Matlab code snippet for noise reduction utilizing a median filtering approach:

% Read the noisy medical image

noisy_image = imread('noisy_image.png');

% Apply median filtering for noise reduction

filtered_image = medfilt2(noisy_image, [3 3]);

% Display original and filtered images

subplot(1, 2, 1), imshow(noisy_image), title('Original Image');

subplot(1, 2, 2), imshow(filtered_image), title('Filtered Image');

In this snippet, medfilt2 is a Matlab function used to perform median filtering on the noisy image, effectively reducing noise while preserving image details.

In summary, Matlab serves as an indispensable tool for image processing tasks in biomedical engineering, enabling students to tackle assignments encompassing noise reduction, segmentation, feature extraction, and beyond, thereby fostering advancements in medical diagnostics, research, and beyond.

Signal Processing for Biomedical Signals:

Matlab serves as a powerful tool in biomedical engineering for analyzing various types of physiological signals, including electrocardiogram (ECG), electroencephalogram (EEG), and electromyogram (EMG). These signals are crucial for diagnosing and monitoring the activity of the heart, brain, and muscles, respectively. Matlab's extensive signal processing capabilities enable researchers and engineers to extract valuable information from these signals for medical diagnosis, treatment, and research purposes.

In biomedical engineering, typical assignments involving signal processing often revolve around tasks such as noise reduction, feature extraction, spectral analysis, and signal classification. For instance, students may be tasked with designing filters to remove unwanted noise from ECG signals, identifying specific features like QRS complexes, and classifying abnormal patterns indicative of cardiac arrhythmias. Similarly, in EEG analysis, assignments might focus on detecting event-related potentials (ERPs) associated with cognitive processes or identifying abnormal brainwave patterns characteristic of neurological disorders. In EMG signal processing assignments, students may be required to differentiate between muscle activation patterns during various movements or classify EMG signals to diagnose neuromuscular disorders.

Matlab provides a plethora of functions and toolboxes tailored for signal processing tasks in biomedical engineering. For filtering tasks, students can utilize functions like designfilt to design various types of filters such as low-pass, high-pass, or band-pass filters to remove noise from signals effectively. Spectral analysis, which involves analyzing the frequency content of signals, can be performed using functions like pwelch for estimating power spectral density or fft for computing the discrete Fourier transform. Matlab's Signal Processing Toolbox offers comprehensive tools for feature extraction, including functions for detecting peaks, calculating statistical measures, and extracting time-frequency representations like spectrograms.

Signal classification is another crucial aspect of biomedical signal analysis, where Matlab's machine learning capabilities come into play. Students can implement classification algorithms such as support vector machines (SVM), k-nearest neighbors (KNN), or artificial neural networks (ANN) using functions provided in Matlab's Statistics and Machine Learning Toolbox. These algorithms enable the automatic classification of signals into predefined categories, facilitating the diagnosis of medical conditions based on signal characteristics.

Modeling and Simulation in Biomedical Systems:

Modeling and simulation play a pivotal role in advancing biomedical engineering research by providing a means to understand complex physiological processes, predict system behaviors, and test hypotheses in a controlled environment. In the realm of biomedical engineering, where experimentation on living organisms is often impractical, expensive, or ethically challenging, modeling and simulation offer a valuable alternative for exploring the dynamics of biological systems. These tools allow researchers to replicate and manipulate biological phenomena in silico, facilitating a deeper understanding of disease mechanisms, drug interactions, and medical device efficacy.

Matlab, a powerful computational tool widely used in scientific research, offers a comprehensive suite of functionalities for creating detailed models and conducting simulations of biomedical systems. Its versatility in handling mathematical equations, numerical methods, and data visualization makes it particularly well-suited for tackling the intricacies of biological processes. Matlab's extensive library of built-in functions and toolboxes further enhances its capabilities, providing specialized tools for tasks such as image processing, signal analysis, and machine learning—all essential components in biomedical modeling and simulation.

To illustrate Matlab's prowess in this domain, let's consider a sample assignment involving the modeling and simulation of a physiological process: the dynamics of a neuron firing in response to external stimuli. Using Matlab, students can construct a computational model of a neuron based on biophysical principles, incorporating factors such as membrane capacitance, ion channel conductance, and synaptic input. By simulating the differential equations governing neuronal dynamics, students can observe how changes in parameters like stimulus amplitude or membrane potential affect the firing pattern of the neuron.

Furthermore, Matlab allows for the integration of experimental data into the model, enabling students to validate their simulations against empirical observations. This iterative process of model refinement and validation fosters a deeper understanding of the underlying physiological mechanisms and reinforces concepts learned in the classroom. Additionally, Matlab's interactive interface and customizable plotting tools facilitate the visualization and analysis of simulation results, empowering students to extract meaningful insights from their models.

Data Analysis in Biomedical Research:

In the realm of biomedical research, where vast amounts of data are generated from various sources such as medical imaging, physiological monitoring, and genetic sequencing, Matlab emerges as a powerful tool for deciphering complex datasets. Its versatile functionalities empower researchers to delve into the intricate patterns within these datasets, enabling insights crucial for advancing biomedical knowledge and technologies. In tackling large datasets, Matlab plays a pivotal role in data preprocessing, where it aids in cleaning, formatting, and organizing raw data into a manageable form suitable for analysis. For instance, in medical imaging studies, Matlab facilitates the extraction of relevant features from voluminous image datasets, streamlining subsequent analyses.

Moreover, Matlab's prowess shines in a myriad of data analysis assignments pertinent to biomedical engineering. One common task involves statistical analysis, where researchers aim to discern meaningful trends, correlations, and statistical significance within datasets. For instance, Matlab's statistical toolbox equips researchers with a plethora of functions for conducting hypothesis testing, regression analysis, and multivariate analyses tailored to biomedical datasets. In a hypothetical assignment scenario, researchers might utilize Matlab to analyze the effectiveness of a new drug treatment by statistically comparing patient outcomes between treatment and control groups.

Furthermore, Matlab serves as an indispensable platform for data visualization, offering a diverse array of plotting functions and customizable visualization tools. In biomedical research, effective visualization of data is paramount for conveying findings and insights to stakeholders. Matlab facilitates the creation of insightful visualizations ranging from basic histograms and scatter plots to more sophisticated 3D renderings of biomedical phenomena. For instance, researchers might employ Matlab to visualize the spatial distribution of neural activity captured through EEG recordings, aiding in the identification of brain regions implicated in specific tasks or conditions.

Additionally, Matlab's robust machine learning capabilities empower researchers to develop predictive models and uncover complex patterns within biomedical datasets. For example, in a machine learning assignment, researchers might utilize Matlab to train a model for predicting patient outcomes based on diverse clinical variables, such as demographic information, medical history, and biomarker measurements. Leveraging Matlab's machine learning algorithms and tools, researchers can iteratively refine and optimize their models, ultimately enhancing their predictive accuracy and clinical utility.

Conclusion:

In "Biomedical Engineering Applications: Matlab Solutions for Assignments," we delved into the indispensable role of Matlab in tackling challenges within the realm of biomedical engineering. Through this exploration, several key points emerged, illuminating the versatility and efficacy of Matlab in addressing various facets of biomedical engineering assignments. Firstly, we uncovered the pivotal role of image processing in biomedical engineering, elucidating how Matlab serves as a potent tool for tasks like noise reduction, segmentation, and feature extraction, thereby enhancing the analysis of medical images vital for diagnoses and research. Moreover, we examined the crucial domain of signal processing for biomedical signals, showcasing Matlab's prowess in filtering, spectral analysis, and signal classification, crucial for deciphering intricate physiological signals such as ECG, EEG, and EMG. Furthermore, we delved into the realm of modeling and simulation in biomedical systems, underscoring how Matlab facilitates the creation of accurate models and simulations essential for understanding and predicting complex physiological processes. Lastly, we explored the significance of data analysis in biomedical research, demonstrating how Matlab empowers researchers to analyze vast datasets, visualize data, perform statistical analysis, and even delve into machine learning algorithms, thereby unlocking deeper insights into biological phenomena.

In light of these revelations, readers are encouraged to delve deeper into the realm of Matlab, recognizing its immense potential as a catalyst for success in their biomedical engineering assignments. By harnessing the power of Matlab, students can elevate their understanding and proficiency in critical areas such as image processing, signal analysis, modeling, simulation, and data analysis, thereby honing their skills and augmenting their academic achievements. Whether embarking on a journey to decipher complex biomedical signals or unraveling the intricacies of physiological systems through modeling and simulation, Matlab stands as an invaluable ally, equipping students with the tools necessary to surmount challenges and excel in their academic pursuits.

As we embark on this journey together, we extend an open invitation to our readers to share their feedback and suggestions for future topics related to Matlab in biomedical engineering. Your insights are invaluable in shaping the direction of our discourse, ensuring that we address topics that resonate with your interests and aspirations. Whether you seek clarification on a specific Matlab concept or yearn to explore new horizons within the realm of biomedical engineering, your input is pivotal in enriching our collective understanding and fostering a vibrant community of learners passionate about leveraging Matlab for academic excellence. Join us on this odyssey as we unravel the boundless possibilities that await within the dynamic intersection of Matlab and biomedical engineering.

Post a comment...

Matlab solutions for biomedical engineering assignments submit your assignment, attached files.

Elsa Hosk Understood the Assignment With Her Head-to-Toe Tiffany Blue Look

The supermodel wore the apropos ensemble for a Tiffany & Co. gala in Beverly Hills

The Swedish model couldn’t have chosen a more fitting dress for the event—it was pulled from the Maison Alaïa Spring/Summer ’24 ready-to-wear collection. The sheer design was made of a body-hugging material and featured a turtleneck and exposed stitching throughout.

However, the real showstopper of the piece was the sleeves, which were adorned with puffy appliqués along the forearms that looked like hand muffs or bouquets of blue roses. These frills added a playful touch to the otherwise understated design, and Hosk certainly had fun showing them off on the red carpet.

As for the rest of her look, the supermodel layered a matching blue bodysuit underneath the sheer dress, and it seemed she had a lining added to the design as well, since it wasn’t quite as see-through as it originally appeared on the runway.

Then, she accessorized with matching heels that had bubbles of material forming the straps, and she layered a few silver chains on top of the dress around her neck—from Tiffany & Co., naturally. The only other color present in Hosk’s look was a tiny pop of yellow, which she added onto the fit via a teeny top-handle bag.

Joel is the editorial and social media assistant for HarpersBAZAAR.com, where he covers all things celebrity news. When he steps away from the keyboard, you can likely find him singing off-key at concerts, scavenging thrift stores for loud wardrobe staples, or perusing bookstores for the next great gay romance novel.

Celebrity News

Cate Blanchett’s Career in Photos

Eva Mendes & Ryan Gosling’s Relationship Timeline

Sydney Sweeney Pairs LBD With Leather Opera Gloves

Bella Might Convince You to Wear This to Work

Katie Holmes Once Again Nails the Lazy-Chic Look

Emily Ratajkowski Is an Old Hollywood Vixen

Blake Lively’s Mermaid Dress Is Covered in Scales

Is Taylor Swift Going to the 2024 Met Gala or Not?

Bella Hadid Channels the Italian Riviera

A Comprehensive Look at Bad Bunny's Dating History

Anya Taylor-Joy’s Outfit Had Arrows All Over It

Kentucky Derby post positions: Most wins from each spot at Churchill Downs starting gate

Over the course of an exhilarating two minutes on Saturday, horses will jockey (no pun intended) for position over 1 1/4 miles of Kentucky dirt, with the winner of that frenetic sprint earning a place in history as the champion of the world’s most storied race.

The winner of the 2024 Kentucky Derby , though, won’t just be determined by whoever crosses the finish line first at Churchill Downs . Historically speaking, it will be influenced by where the winning horse began the race.

Among the dozens of factors that go into prognosticating the Run for the Roses is the race’s post position — that is, where on the track’s 20-horse starting gate each competitor is before they take off.

For those who closely follow the sport and try to correctly bet on the winner of the race, last Saturday’s Kentucky Derby post position draw was an event of significant interest. Where a horse starts the race doesn’t foretell whether they’ll win it. But based on nearly a century’s worth of results, it can prevent even a top contender from galloping into the famed Winner’s Circle.

To get a better sense of what horses might be well-positioned to win the 2024 Derby, here’s a look at post positions of previous winners since the starting gate was first used in 1930, how many winners have come from each post position and more:

Kentucky Derby best post position

Post position No. 5 has produced the most Derby winners, with 10 wins in 94 starts, along with eight second-place finishes and four third-place showings.

The last winner from the No. 5 post position came in 2017, when Always Dreaming came in first by 2 3/4 lengths. For all of its historic success, however, the post position hasn’t had a top-three finisher since Audible came in third in 2018.

This year, Catalytic will occupy the No. 5 post position, though the horse isn’t among the race’s favorites. As of Thursday morning, Catalytic was at 42-1 odds to win.

REQUIRED READING: Who can beat the favorite in Kentucky Derby 2024? These are four horses to bet on

Kentucky Derby wins by post position

While the No. 5 post position has been the home to the most Derby winners, it doesn’t hold that distinction by a wide margin.

Post position Nos. 8 and 10 have each produced nine Derby winners, just one behind the lead. Mage, the 2023 Derby champion, came out of No. 8. Post position Nos. 1 and 7 have each been home to eight Derby victors.

Beyond post position No. 10, a horse’s chances of winning the Derby decrease noticeably. Only one gate from Nos. 11 through 20 has produced more than five Derby winners, while six of those 10 spots have been home to two or fewer champions, including post position No. 17, which has never been the starting spot for a Derby winner.

Here are the number of Derby champions that have come from each post position:

• Post No. 1 : 8 winners
• Post No. 2 : 7 winners
• Post No. 3 : 5 winners
• Post No. 4 : 5 winners
• Post No. 5 : 10 winners
• Post No. 6 : 2 winners
• Post No. 7 : 8 winners
• Post No. 8 : 9 winners
• Post No. 9 : 4 winners
• Post No. 10 : 9 winners
• Post No. 11 : 2 winners
• Post No. 12 : 3 winners
• Post No. 13 : 5 winners
• Post No. 14 : 2 winners
• Post No. 15 : 6 winners
• Post No. 16 : 4 winners
• Post No. 17 : 0 winners
• Post No. 18 : 2 winners
• No. 19 : 1 winner
• No. 20 : 2 winners

REQUIRED READING: Brown: Louisville trainers, with 5 horses in Kentucky Derby 150 field, out to make history

Kentucky Derby post positions 2024

What might that history of finishes from various spots on the starting gate mean for the 2024 Derby?

Here’s a look at which horse is starting from which post position:

• No. 1 : Dornoch
• No. 2 : Sierra Leone
• No. 3 : Mystik Dan
• No. 4 : Catching Freedom
• No. 5 : Catalytic
• No. 6 : Just Steel
• No. 7 : Honor Marie
• No. 8 : Just a Touch
• No. 9 : Encino (Scratched)
• No. 10 : T O Password
• No. 11: Forever Young
• No. 12: Track Phantom
• No. 13 : West Saratoga
• No. 14 : Endlessly
• No. 15 : Domestic Product
• No. 16 : Grand Mo the First
• No. 17 : Fierceness
• No. 18 : Stronghold
• No. 19 : Resilience
• No. 20 : Society Man
• No. 21 : Epic Ride

• CBSSports.com
• Fanatics Sportsbook

Men's Brackets

Women's Brackets

Fantasy Baseball

Fantasy football, football pick'em, college pick'em, fantasy basketball, fantasy hockey, franchise games, 24/7 sports news network.

• CBS Sports Golazo Network
• PGA Tour on CBS
• UEFA Champions League
• UEFA Europa League
• Italian Serie A
• Watch CBS Sports Network
• TV Shows & Listings

The Early Edge

A Daily SportsLine Betting Podcast

With the First Pick

NFL Draft recap

• Podcasts Home
• The First Cut Golf
• Beyond the Arc
• We Need to Talk Now
• Eye On College Basketball
• NFL Pick Six
• Cover 3 College Football
• Fantasy Football Today
• My Teams Organize / See All Teams Help Account Settings Log Out

2024 Kentucky Derby horses, field, odds, post positions: Fierceness, Sierra Leone early favorites for big race

The first triple crown race of the year is nearly here and we now know the post positions for the kentucky derby.

The Kentucky Derby is almost here. The 150th Run for the Roses is set for Saturday afternoon from Churchill Downs in Louisville, Kentucky, where 20 horses will be vying for this year's crown. The mint juleps will be flowing all day as fans make the annual pilgrimage to the famed racetrack to take in the fastest two minutes in sports. The post draw was held very early this year, a full week before the race takes place. 

The favorite this year is Fierceness, who will start out of the No. 16 gate. The horse, trained by Todd Pletcher, has three wins in five career starts. Fierceness took home the win at the Florida Derby in March to go with a win at the Breeders Cup in November. 

As is always the case, the favorite will have some stiff competition from the rest of the field at Churchill Downs. Sierra Leone (3-1), Catching Freedom (8-1), Forever Young (10-1), and Just a Touch (10-1) round out the rest of the favorites in this year's Kentucky Derby field. Dornoch, the younger brother of 2023 Kentucky Derby winner Mage, is something of a longshot at 20-1.

The most common post position to take home the roses has been the No. 5 gate with 10. The last win from that starting gate came in 2017 with Always Dreaming. The position drew a fairly big longshot this year with Catalytic, who is around 30-1 to win it all. He has just three races on his resumes and two second-place finishes.

Last year, the morning-line favorite, Forte, was scratched the morning of the race. The massive shakeup atop the field led to one of the more interesting races in recent memory with no clear favorite. Mage, at 15-1, managed to hold off Angel Empire and Two Phil's for a massive win for jockey Javier Castellano, who picked up his first victories in the Run for the Roses and the Belmont Stakes last year.

The winner of the 150th edition of the Kentucky Derby will look to join the 13 Triple Crown winners in history. The last came in 2018 with Justify as the horse easily swept all three legs of the Triple Crown at the Kentucky Derby, Preakness Stakes and Belmont Stakes. 

Check out the list of previous 149 winners before the action kicks off on May 4.

2024 Kentucky Derby post positions

• Dornoch (20-1)
• Sierra Leone (3-1)
• Mystik Dan (20-1)
• Catching Freedom (8-1)
• Catalytic (30-1)
• Just Steel (20-1)
• Honor Marie (20-1)
• Just a Touch (10-1)
• Encino (20-1) Scratched
•  T O Password (30-1) 
• Forever Young (10-1)
• Track Phantom (20-1)
• West Saratoga (50-1)
• Endlessly (30-1)
• Domestic Product (30-1)
• Grand Mo the First (50-1)
• Fierceness (5/2)
• Stronghold (20-1)
• Resilience (20-1)
• Society Man (50-1)
• Epic Ride (30-1)
• Mugtau (30-1)

2024 Kentucky Derby odds (sorted)

• Fierceness -- 5/2
• Sierra Leone 3-1
• Catching Freedom 8-1
• Just a Touch 10-1
• Forever Young 10-1
• Dornoch 20-1
• Mystik Dan 20-1
• Just Steel 20-1
• Honor Marie 20-1
• Encino 20-1
• Track Phantom 20-1
• Stronghold 20-1
• Resilience 20-1
• Catalytic 30-1
• T O Password 30-1
• Endlessly 30-1
• Domestic Product 30-1
• Epic Ride 30-1
• Mugatu 30-1
• West Saratoga 50-1
• Grand Mo the First 50-1
• Society Man 50-1

So who wins the 2024 Kentucky Derby? What double-digit longshot is a must-back? And how has Yu constructed her wagers?  Visit SportsLine to see Yu's picks for the Kentucky Derby , all from the Santa Anita-based racing insider who has a long history of success in the Kentucky Derby, and find out. 

Our Latest General Stories

Kentucky Derby 2024: How to watch, post time, odds

Austin nivison • 2 min read.

2024 Kentucky Derby odds, futures picks, exotics

Cbs sports staff • 4 min read.

Kentucky Derby picks from expert who nailed longshots

Cbs sports staff • 3 min read.

2024 Kentucky Derby: Exacta, trifecta and superfecta

2024 kentucky derby odds, churchill downs expert picks, 2024 kentucky derby cheat sheet, racing form, share video.

Post positions for the 150th Kentucky Derby after draw

Team USA will soon be thanking Edwards

Arraez's four hits in Padres debut makes history

Messi records five assists in one half to power Miami

A's extend win streak to six games, push record to .500

Caleb Williams showered with cheers at Cubs game

76ers reportedly have Paul George at top of wish list

Grades for transfer classes after window closes

Lakers candidates: Redick among names to watch

One big question for each team after NFL Draft