Week 11 of the Semester!

Important Deadlines Ahead!

Advising Updates

L& S Academic Deadline Reminder!


We want to remind you that various academic deadlines, including dropping a class without academic dean approval and withdrawing from the university (dropping all of your classes), are approaching. For this semester, these deadlines are Friday, November 25, 2022, the day after Thanksgiving. 

 

Note: these deadlines only apply to full semester-length courses. To see the deadlines for other courses, check Course Search & Enroll.

 

If you are considering dropping a course or withdrawing, we encourage you to consult with your instructors and academic advisor before the Thanksgiving holiday break. Not sure who your advisor is? Use this advisor search resource.

 

Learn more about enrollment dates and deadlines on the

Office of the Registrar website.

Interested in Graduate-Level Courses?

Undergrad Request Form Now Available!


Comp Sci courses numbered 700 and above are graduate-level courses and are restricted to graduate students. However, if space allows after all grad students have had a chance to enroll, there is a small chance that undergraduates may be allowed into some of our grad-level courses.

 

To request permission to enroll in a graduate-level Comp Sci course managed by the Department of Computer Sciences, please complete this request formhttps://forms.gle/S7K7kx6dohjCEo2y9 


Undergraduates who are given an exception to enroll in a graduate-level course will be notified by the end of December, provided seats are still available.

Spring 2023 Peer Mentor Interest Form


Did you enjoy the content in a particular Computer Sciences course?

Are you interested in helping other students understand that course?


The Department of Computer Sciences is collecting information from undergraduate students who are interested in being a CS course Peer MentorPeer Mentors assist with offering office hours and study sessions. By completing this form your information will be available to CS course instructors, who will contact interested students and make hiring decisions. 


Log-in with your UW google account and complete the survey at: https://forms.gle/W417cShcgK6X1rN56 .  


Drop-In Career Advising 


Looking for In-person drop-in career advising related to tech, data & analytics careers? Every Wednesday during the Fall semester from 1:00 - 4:00pm, visit a L&S Successworks career advisor regarding career/internship-related questions! They will be located on the 4th floor of Tower 2 in the CS building.

Spotlight: CS 638: Python for Java Learners

COMPSCI 638 Lecture 005: Python for Java Learners


Description: Python for Java Learners is a 1-credit, ungraded programming language course that students take for credit/no credit.  This course is a good fit for students who have deep knowledge of another object-oriented programming language, such as Java, and desire to learn the fundamentals of Python.  Students who enroll in this course should have completed CS 300, or should have a deep knowledge of some other object-oriented programming language. This course is not a replacement for CS220 or CS320 in that it does not focus on creating programs to process datasets. 

Spotlight: CS 639: Spring 23 Topics Courses

COMPSCI 639 Lecture 001: Foundations of Data Science

Instructor: Jelena Diakonikolas


Description: This course teaches theoretical foundations of data science, focusing on the computational aspects. The tentative list of topics includes: Gaussian random variables, central limit theorem, and concentration inequalities; applications of concentration inequalities in statistical learning; null hypothesis significance testing, p-values, multiple hypothesis testing, false discovery rates, A/B testing, causality; maximum likelihood estimation; bootstrap; linear regression and classification, cross-validation, model selection; optimization with gradient descent and stochastic gradient descent. Course will also have examples and a programming component in Python. Python programming is not covered by this course; having taken either classes that cover Python programming or some of the introductory CS programming classes is assumed.


Prerequisites:

A course in linear algebra (Math 320, 340, 341, or 375)

AND

A course in probability/stats (MATH/STAT 309 or MATH/STAT 310 or STAT 311 or STAT 312 or STAT 324 or MATH/STAT 431 or CS/STAT 471)

OR

Instructor consent


To see the Spring 2022 version of the course: Click Here

COMPSCI 639 Lecture 002: Deep Learning for Computer Vision

Instructor: Yong Jae Lee


Description: Computer vision is the study of enabling machines to understand the visual world (i.e., images and videos), and has applications in content-based search, healthcare, autonomous vehicles, etc., with visual recognition tasks like image classification, object detection, and segmentation being core to many of those applications. Over the past decade, deep learning has greatly advanced the state-of-the-art in computer vision research. This upper-division undergraduate course will dive into the fundamentals of deep learning for computer vision. Students will learn to implement deep neural networks and learn about the state-of-the-art computer vision research in a broad range of topics including object recognition, activity recognition, and scene understanding.


Prerequisites:

(COMP SCI 300, 320 or 367)

And

(MATH 211, 217, 221, or 275)

And

(MATH 320, 340, 341, 375, or M E/COMP SCI/E C E 532)

COMPSCI 639 Lecture 004: Intro to Big Data Systems

Instructor: Tyler Caraza-Harter


Description: Deploy and use distributed systems to store and analyze large datasets. Unstructured (object storage) and structured (distributed databases) approaches to storage will be covered. Analysis will involve learning new query languages, processing streaming data, and training machine learning models. Systems covered include: Docker, PyTorch, HDFS, Spark, Cassandra, Kafka, and more.  


Prerequisites:

(CS 320 OR CS 400.)

Upcoming Events

Low Cost Professional Headshot Event!

MAIZE GXE: Corn Yield Prediction Contest

Informational Meeting for Engineering Expo 2023


This April, Engineering EXPO will be back on campus on Friday, April 21st and Saturday, April 22nd. Engineering EXPO is a two-day event that is hosted on the engineering campus with the goal of getting kids interested in engineering. Friday is schools day and is geared towards middle-school age students, whereas Saturday is community day and is open to all ages. A main component of Engineering EXPO is student exhibits where lab groups and individuals can show off their awesome creations and inspire the next generation of Badger Engineers! 


We will be holding a brief informational meeting about Engineering EXPO 2023 at 7:00PM on Tuesday, November 15th in room 1413 (Cheney Room) in Engineering Hall. It will be a short, informal meeting to provide basic information about EXPO, answer any questions, and give examples of past exhibits. If you are interested in coming to the meeting, please RSVP here. 

CS December Graduation Celebration!

 Are you a CS major graduating this semester (Fall 2022)?

 

If so, don't forget to RSVP to the Computer Sciences Graduation Reception held Sunday, December 18th, 2022 at 1:30 PM at Gordon Dining & Event Center. 

Click Here to RSVP!

Deadline to RSVP: Monday December 1st.

 

To access the form, you must log-in using your @wisc.edu google account. Make sure you are logged out of any other google accounts.

WACM's Annual Mentoring Program is looking for Mentors and Mentees!

WACM is hosting its annual Mentoring Program! This program is targeted towards women & non-binary students who are looking to connect with others and learn more about CS within academia and industry.

 

WACM is currently looking for students who are interested in participating either as a mentee (Freshman/Sophomore-level undergraduates) or a mentor (graduate students, Junior/Senior-level undergraduates, industry professionals, researchers, etc.). Mentors will lead mentoring families with up to 3-4 mentees and engage with students through both organized and informal events throughout the year. Participants will have the flexibility to cater the experience to their group with the guidance of WACM and other mentors/mentees!

 

If you are interested in participating in the program as either a mentor/mentee, please fill out the form before Wednesday, 11/16 at 11:59 PM and we will reach out to you shortly!

 

Link to form: https://forms.gle/7eTjcyGtV2zG4Gbc8 

Badgerfly Recruiting Engineering and CS Students

Connecting Across Disciplines: UW Philosophers At Work

In Town for Thanksgiving?

Want to Get Exercise Before Gorging on Turkey?


Join the CDIS Team for the Berbee Derby Fun Run and Walk on Thanksgiving Day!


The Berbee Derby is a 10k/5k run or 5k walk held Thanksgiving morning starting at 8am. The event held in Fitchburg raises money for the Technology Educational Foundation. 


Registration is $35 and all participants will get a team t-shirt.


To join the CDIS team:

Go to https://www.berbeederby.com/registration

Select “Teams” signup. 

Enter “UW Computer, Data & Info Sciences” for the team name.


Stay tuned for info on how we will take a group photo together!


Questions? Email Mike Swift at swift@cs.wisc.edu

Meta Connect Opportunities


Students who were not able to attend the recent Meta information sessions can ask questions or schedule 1:1 meetings with a Meta recruiter using the forms below.


Additional questions for a Meta Recruiter? Complete the form HERE! 


Interested in a 1:1 Meeting with a Meta Recruiter? Complete the form HERE! 

Looking to Advertise Your Student Org Event?


Does your student organization have a kick-off coming up?

Maybe there is a cool event happening you want others to know about!

Feel free to send an announcement to advising@cs.wisc.edu!

We will add it in our next newsletter!

Thinking Ahead: Certificate Offerings, Grad School and Fellowships 

Thinking Ahead: MS Statistics, Statistics and Data Science (MSDS) Information Session

When: Monday, December 5, 4-5pm

Where: Union South, TITU


RSVP by Sunday, November 20 at 11:59pm central time at https://go.wisc.edu/j2x1zz


Program Description: Combines a background in statistical theory, methods, and practice related to data science. Graduates will build data analytic reasoning and communication skills in realistic inter-professional strategic planning settings that involve making sense of complex data to realize organizational objectives. Median time to degree is two years; UW-Madison alumni can pursue the one-year option.

Thinking Ahead: MS Data Science (MDS) Information Session

When: Monday, December 12, 4-5pm Where: Union South, TITU


RSVP by Sunday, November 26 at 11:59pm central time at https://go.wisc.edu/x65w25


Program Description: Focuses on the computer science and statistical elements of data science with an emphasis on machine learning. Graduates can seek employment as data analysts and data scientists, or pursue further education in data science, statistics, computer science, or related quantitative and computational fields. Median time to degree is two years.

Thinking Ahead: Digital Studies Certificate

Thinking Ahead: Carnegie Mellon Master's of Information Technology Strategy Info Sessions

Thinking Ahead: 2023 Research Fellowship in Law and Natural Language Processing at Stanford University


Professor Julian Nyarko at Stanford Law School is seeking a full-time Research Fellow to begin work in the summer of 2023. The fellowship offers a unique opportunity for graduating seniors and recent college graduates to participate in research at the intersection of natural language processing, law, and the social sciences.


As full-time Stanford University employees, fellows will receive a competitive salary and benefits package, including medical, dental, and vision insurance, access to campus athletic and academic facilities, paid vacation time, professional development funds, and the capacity to audit Stanford courses and attend on-campus lectures and seminars free of charge.

Link to full job posting: HERE

Internship & Co-Opportunities

CS Internships Abroad with IIP!

Internship and Co-op Positions at Sargento


Sargento is offering two IT internships and one co-op starting in May 2023. Sargento offers paid relocation and housing for all interns and co-ops and competitive wages starting at $20+/hr. Sargento interns and co-ops lead and own 2-3 meaningful and significant projects. Check the links below for more information:


Hosting Services Intern: 

https://careers.sargento.com/us/en/job/SFINUS1437EXTERNALENUS/Hosting-Services-Intern


Digital Workplace Intern:

https://careers.sargento.com/us/en/job/SFINUS1438EXTERNALENUS/IT-Digital-Workplace-Intern


Cyber Security Co-Op:

https://careers.sargento.com/us/en/job/SFINUS1432EXTERNALENUS/Cyber-Security-Co-Op

 

All Internships and Co-Ops: 

https://careers.sargento.com/us/en/c/students-jobs

Career Tips

Career Tips from L&S Successworks!



Be sure to check out the Technology, Data, and Analytics Career Community for some AMAZING resources!




Preparing for a Technical Interview


Start by drilling the fundamentals of your language(s). Some interviews let you decide which language to code in; others will not give you the option. If you are comfortable recalling and using key structures, operators, and common syntax, you’ll be ready for anything the technical interview challenges you with. 


Also, do some research on the company. Read other job descriptions or company project activity to get hints about coding and techniques the company might challenge you with. 


Finally, include code-test practice into your regular job search routine, even if you don’t have an interview scheduled yet. Regular practice will ensure you’re ready when the interview comes, and will help you build confidence in your skills. 


Check out more Interview Prep Tips for TDA Students!

Computer Sciences Undergraduate Program
cs.wisc.edu / advising@cs.wisc.edu