Welcome to the Department of Computer Science and Information Technology. If you are a prospective student, the links on this page will provide you with much of the information that you need. We welcome on-line, transfer, and second-degree students. If you need more information, please contact our office at 931-221-7840 or email Dr. Leong Lee, the chair of the department.
- Need TUTORING for assignments? Check out peer programming tutoring hours.
- Hunting down a professor, need advisement? Check out their office hours.
- Please LIKE our department facebook page https://www.facebook.com/apsucsci/
- 2018-2019 FAFSA is now open! Check out APSU financial aid.
- Scholarships! Apply now for official APSU Scholarships and check out more CSCI scholarships.
- Looking for work? check out our job opportunities and internship/REU opportunities pages.
- Need more STEM info? check out the College of Science, Technology, Engineering, and Mathematics webpage..
Fall Peer Programming Tutoring Available
Taking summer class? Need help with programming assignments? Summer peer programming tutoring available. Check out the schedule here !
Graduate Teaching Assistant Positions Available
- work (a maximum of) 20 hours per week for 16 weeks in Fall and 16 weeks in Spring
- annual stipend: $5,200
- eligible for a tuition waiver to cover the cost of tuition and fees (approximately $10,000) not to exceed 10 graduate credit hours per academic semester
- Applicant must be admitted to or applying to the PSM or M.S. in Computer Science and Quantitative Methods program.
- The Department of Computer Science and Information Technology and the Department of Mathematics and Statistics offer a Master of Science (M.S.) degree in Computer Science and Quantitative Methods, and a Professional Science Master’s (PSM) degree, also in Computer Science and Quantitative Methods.
Keeping Up With Us
- Dr. Coleman, Dr. Lee, and Dr. Ridenour's refereed research paper "Stochastic Modeling Of Hydraulic Geometry Using An Extremal Hypothesis" was presented at the CMCGS 2018 Conference, 7th Annual Int. Conf. on Computational Mathematics, Computational Geometry & Statistics, Apr 9-10, 2018, Singapore.
- Regional ACM Programming Contest 2017: November 11, 2017. 2 teams participated, supervised by Dr. Church.
- The ACM Programming Contest is an international programming contest run every year by the Association for Computing Machinery. The contest takes place in two phases. The first phase is the Regional Contests which are held at various sites throughout the world. Each region coordinates its own contest and the top teams in each region are chosen to compete at the second phase of the contest, which is the World Finals.
- APSU competed in the Mid Central region at University of Tennessee at Martin. There 14 teams competing at the site and were 126 teams competing in the region. Standings.
- The teams were supervised by Dr. James Church, and the teams were:
- Ron Harper, Robyn Yates, and Nathan Nickelson. 4th at the site and 57th in the region.
- Namespace Awesome: Ryan Swanson, Rhett Newton, and Luke Cecil. 10th at the site and 100th in the region.
- 2017 Fall ACM Mid-Southeast Conference, November 9 & 10, 2017, Glenstone Lodge, Gatlinburg, TN, USA: Dr. James Church, Michael
Timbes in Attendance.
- Computer Science student, Michael Timbespresented poster "Using TensorFlow for Face Detection" at the conference.
- Dr. James Church presented his research paper "Segmentation of Unorganized Point Cloud Data".
- Haskell: Data Analysis Made Easy - by Dr. James Church: This 78 page book covers setting up the Haskell environment, performing meaningful analysis on real-world data, visualizing and harvesting information from data, and identifying patterns in the data with advanced data analysis. Perfect for anyone new to the field of data analysis that wants to polish their skill with Haskell. Amazon link to book.
- Learning Haskell Data Analysis - by Dr. James Church: This 194 page book covers creating portable databases with SQLite3 and pulling large amounts of data into your Haskell programs, using EasyPlot to make publication-ready charts, and analyzing real-word data with the most commonly used statistical techniques. A must-buy for any developer, analyst, or data scientist wanting to learn data analysis methods with Haskell! Amazon link to book.
For those who may not have kept up with us, here is a list of our faculty and staff.
- Mr. Barry G. Bruster, Instructor
- Dr. Nicholas A. Coleman, Assistant Professor
- Dr. Joseph V. Elarde, Assistant Professor
- Dr. Leong Lee, Associate Professor and Chair
- Dr. Jiang Li, Professor
- Mr. Johnny Maynard, Assistant Professor
- Dr. Bruce Myers, Professor
- Dr. John A. Nicholson, Associate Professor
- Dr. Yingbing Yu, Professor
- Dr. Jim Bateman, Professor Emeritus
- Dr. Jim Vandergriff, Professor Emeritus
- Mr. Keith Bearden, Adjunct Faculty
- Mr. Calvin G. Bolander, Adjunct Faculty
- Dr. Gary L. Griffith, Adjunct Faculty
- Mr. Jason Hatton, Adjunct Faculty
- Mr. Paul E. MacAfee, Adjunct Faculty
- Mr. Antonio (Tony) L. McCutcheon, Adjunct Faculty
- Mr. Stephen T. Paulk-McGinley, Adjunct Faculty
- Mr. Austin Siders, Adjunct Faculty
- Mr. Aaron Taylor, Adjunct Faculty
- Mr. Leonard Tharpe, Adjunct Faculty
- Mr. John Wood, Adjunct Faculty
- Mrs. Betty Leimer, Administrative Assistant II