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Fall 2023 Registration Wait-list

The registration period for Fall 2023 courses is April 4 – 14, 2023.  Some seats have been reserved for CS majors in all CSC courses.  Please review the Fall 2023 Registration Newsletter for additional information on options courses offered next semester.

After your registration window opens, if the class you need is closed, put yourself on the wait-list using the Qualtrics form below.

Be sure to read all directions and enter all requested information.

Fall 2023 Wait-list: https://bit.ly/3mFfGwI

If you make changes to your schedule after entering your submission to the wait-list and need to update your information, email cs@tcnj.edu.

We will not start signing students into courses until Monday, April 17, after the registration window closes. Please do not email the department for updates before this time.  We will enroll students into any unfilled seats in order, based on their registration times and time they registered on the wait list.

Be sure that your intended course does not conflict with a course in your current schedule, and that you are willing to drop conflicting courses to make the change.  If you have a full course load or time conflict and do not indicate courses to drop on your wait-list submission, your submission will be disregarded.

As always, have a back-up plan in case you are not able to get into your preferred courses.

Please see the Advising Resources webpage for more information about submitting Mentored Research or Internship forms for Fall 2023.


Links to other School of Science Department Wait-lists can be found below:

Biology: https://biology.tcnj.edu/resources-for/current-students/waitlists/
Chemistry: https://chemistry.tcnj.edu/waitlists/
Math/Stat: https://mathstat.tcnj.edu/ (link to form posted on the menu bar)
Physics: https://physics.tcnj.edu/physics-registration-faq/

For more information on waitlists for other schools and departments, please refer to the TCNJ Waitlisting Process packet.

Colloquium Talk with Dr. Sukrit Dasgupta, March 31: Designing and Deploying Cisco AI Spoofing Detection

Dr. Sukrit Dasgupta, Head of Engineering for the Cisco AI Cloud platform team, will give a colloquium talk, titled “Designing and Deploying Cisco AI Spoofing Detection” on Friday, March 31, from 12:30 – 1:30 PM in STEM 102.

See below for more information about Dr. Dasgupta.

Abstract:  As time passes, demands on networks are only increasing. Whether it’s the growth of bandwidth intensive applications, complexity of security postures, more devices per person or simply, more users spending more time on the network, the expectations for everything to “just work” is taken for granted. Traditional ways of managing, operating, and securing networks are being augmented with a steady influx of Machine Learning technologies to help with the challenges. In this discussion we will go over some scenarios where Machine Learning approaches are assisting network operations and talk about the motivations and challenges around the problem and solution space. As many of you will soon be looking forward to solving challenging problems in this domain once you graduate, I will share some of my experiences and also talk about how students can prepare themselves in this vast space.

Speaker Bio: Sukrit Dasgupta is the Head of Engineering for the Cisco AI Cloud platform team that deploys multiple AI Applications for Cisco DNA Center, Cisco Identity Services Engine (ISE) and Cisco ThousandEyes. He joined Cisco in 2008 and has been involved in multiple networking areas such as MPLS Traffic Engineering (MPLS-TE) and Transport Profile (MPLS-TP), Internet of Things (IoT), Smart Grid, Security, Wireless and Network Controllers. He is also a co-inventor on more than 70 patents in these areas. For the past 8 years he has been leading teams that are solving hard networking problems using AI and Bigdata. Dr. Dasgupta received his MS in Computer Engineering and PhD in Electrical Engineering from Drexel University, Philadelphia and BS in Computer Science from Sikkim Manipal Institute of Technology, India.

Call for Goldberg-Neff Scholarship Prize Applications – 2023

Charles H. Goldberg – Norman Neff
Scholarship Prize in Computer Science

(Applications due Friday, April 7, 2023 by 12:00 PM)


The Charles H. Goldberg – Norman Neff Scholarship Prize is awarded annually by the Computer Science Department to a student(s) who has/have demonstrated academic excellence in Computer Science and who will be continuing into graduate study in Computer Science.

Eligible students are graduating Computer Science majors who have applied for admission for graduate study in Computer Science. The number of awards and the award amount are at the discretion of the Computer Science Department. The award check will be conveyed to the awardee(s) upon matriculation in a graduate program in Computer Science within one year of the announcement of the award.

How to Apply

Please complete the following Google Form before the deadline: https://forms.gle/uvUpn8JwK5pqxLpC7

Six CS Majors Invited to Join Phi Beta Kappa (PBK)

CS majors Sean Elefant, Jabili Gadde, Kiera Gill, Robert Helck, Max Landry, and Jason Swick were recently accepted into Phi Beta Kappa honors society.

Phi Beta Kappa (PBK) is one of the country’s most prestigious honors societies, and only a limited number of junior and senior students are accepted each year.   PBK honorees have demonstrated excellence in the liberal arts and sciences at undergraduate institutions.

For more information about Phi Beta Kappa, see: https://www.pbk.org/

Congratulations to Sean, Jabili, Kiera, Robert, Max, and Jason!

Colloquium Talk with Dr. Isaac Neuhaus, February 21: CanvasXpress: A visualization tool for data analytics in a regulated environment

Dr. Isaac Neuhaus, Senior Director of Computational Genomics at Bristol-Myers Squibb, will give a colloquium talk, titled “CanvasXpress: A visualization tool for data analytics in a regulated environment” on Tuesday, February 21, from 12:30 – 1:30 PM in Science Complex P-101.

See below for more information about Dr. Neuhaus.

Abstract:  Working as a data scientist in the pharmaceutical industry can be a challenging task due to stringent regulations that demand rigorous accountability. Fortunately, powerful visualization tools like CanvasXpress offer us an opportunity to effectively explore complex datasets while simultaneously ensuring full compliancy with regulatory standards – resulting in compelling visualizations and unparalleled reproducibility of research results.

Speaker Bio:  Dr. Isaac Neuhaus is the Senior Director of Computational Genomics working at Bristol Myers Squibb. He is a self-motivated, creative bioinformaticist with over 20 years of experience. Dr. Neuhaus has a broad range of expertise in bioinformatics, transcriptional profiling, systems biology, genome analysis, sequencing, data analysis, and visualization. He is also a computer programming expert, fluent in R, Perl, JavaScript, HTML5, Oracle, and C. He authored or co-authored more than 50 scientific publications in the field of his expertise. Before joining Bristol Myers Squibb more than 22 years ago, he worked at Norvatis after his post-doctoral training in Mouse Genetics at Harvard Medical School in 1998. He received his Doctor of Philosophy degree in Biochemistry and Molecular Biology from the University of Miami Millar School of Medicine in 1995.

Fall 2022 & Winter 2023 News Roundup


Call for CS Student News

Comp Sci Department Fall 2022 and winter 2023 round up.

Over the course of the semester, Ms. Zsilavetz will be updating the CS Department white board (near the CS Office) with information about our students’ offers of employment, acceptances to graduate schools, accepted internship and summer REU opportunities, or publications.  This is one way that the CS Department likes to celebrate our students’ achievements each spring semester.  We encourage you to watch as the boards populate over the next few weeks and to email Ms. Zsilavetz (zsilave2@tcnj.edu) with any news that you would like us to share on the board.


Dr. Ferdous and CS Junior Co-author Research Publication

Congratulations to Dr. Sharif Shahnewaz Ferdous and Andrew Michael (Class of 2024) on their recent publication, titled “Use of Scaling to Improve Reach in Virtual Reality for People with Parkinson’s Disease”. The publication citation and abstract can be found below:

S. M. S. Ferdous, A. Michael, T. I. Chowdhury and J. Quarles, “Use of Scaling to Improve Reach in Virtual Reality for People with Parkinson’s Disease,” 2022 IEEE 10th International Conference on Serious Games and Applications for Health (SeGAH), Sydney, Australia, 2022, pp. 1-7, doi: 10.1109/SEGAH54908.2022.

Abstract: This research investigates the effect of scaling in virtual reality to improve the reach of users with Parkinson’s disease (PD). People with PD have limited reach, often due to impaired postural stability. We investigated how virtual reality (VR) can improve reach during and after VR exposure. Participants played a VR game where they smashed water balloons thrown at them by crossing their midsection. The distance the balloons were thrown at increased and decreased based on success or failure. Their perception of the distance and their hand were scaled in three counterbalanced conditions: under-scaled (scale = 0.83), not-scaled (scale = 1), and over-scaled (scale = 1.2), where the scale value is the ratio between the virtual reach that they perceive in the virtual environment (VE) and their actual reach. In each study condition, six data were measured −1. Real World Reach (pre-exposure), 2. Virtual Reality Baseline Reach, 3. Virtual Reality Not-Scaled Reach, 4. Under-Scaled Reach, 5. Over-Scaled Reach, and 6. Real World Reach (post-exposure). Our results show that scaling a person’s movement in virtual reality can help improve reach. Therefore, we recommend including a scaling factor in VR games for people with Parkinson’s disease.


Sara Aly next to her research poster.
Photo of Sara Aly (Class of 2024).

CS Junior Presents REU Research at IFoRE 2022

Congratulations to Sara Aly (Class of 2024) who, along with her REU research partner, presented at the International Forum on Research Excellence (IFoRE) conference hosted by Sigma Xi, The Scientific Research Honor Society, in November 2022!  Sara’s presentation, titled, “Accessible Hand Motion Data Acquisition Using Computer Vision”, won best presentation in the Undergraduate Math and Computer Science category, and she and her research partner were both inducted into Sigma Xi.  Sara’s work was completed as part of a summer 2022 REU at Cleveland State University.

 

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