Major Areas of Study: COMPUTER SCIENCE
Muskingum University provides its students with a sound technical education that includes topics from a number of emerging areas, including web tool development, network and wireless communication, animated graphics, artificial life, and robotics. At the same time, the department faculty believes that a liberal arts institution should have a special mission that includes discussions of the effects of this technology within our society and around the world.
Recent internships for Computer Science students include:
- Battelle Labs
In addition to internships, students generally get involved in research in connection with two courses—CPSC 400: Programming Projects and CPSC 495: Computer Science Seminar.
A recent example of student research comes form our summer Muskie Fellows program, through which Tanner Barnes ('12) studied the use of a cave development simulator under the direction of Jay Shaffstall, Instructor of Mathematics and Computer Science.
Computer Science students may join the Muskingum University chapter of ACM (Association for Computing Machinery).
The Computer Science department employs students to help professors grade, to assist in labs associated with Introduction to Computing, and to tutor in Computer Science courses.
Recent Computer Science graduates from Muskingum have accepted positions at:
- Battelle Labs
- Argonne Laboratories
- MIT Laboratories
Recent Computer Science graduates have enrolled in the following graduate schools:
- The Ohio State University
- University of Michigan
- University of Cincinnati
- Case Western Reserve University
- Cornell University
- Bowling Green State University
- Carnegie-Mellon University
- Clemson University
- Georgia Institute of Technology
- Indiana University
- Miami University (Ohio)
- Massachusetts Institute of Technology
- University of North Carolina (Chapel Hill)
- University of Pittsburgh
Jarrod Dalton earned his BS in mathematics, computer science, and business from Muskingum University in 2002 and proceeded to earn a master's degree in applied statistics from the University of Michigan in 2003. In 2013, Jarrod received the Doctoral Excellence Award in Biomedical Sciences from Case Western Reserve University for his 2013 Ph.D. thesis in epidemiology and biostatistics. In nearly seven years as a biostatistician within the Cleveland Clinic Departments of Quantitative Health Sciences and Outcomes Research, Jarrod gained expertise in the design and analysis of clinical trials in the area of perioperative medicine and in conducting observational analyses of large, diverse electronic health data registries. His research is focused on using modern electronic health record technology to better support individualized care, primarily through the use of statistical data mining or machine learning techniques. Under the KL2 program, he is working under the mentorship of Neal Dawson, MD to build and validate clinical decision rules which will recommend a treatment alternative for specific conditions according to patients individual comorbidity profiles using large population health databases. He is also working to develop methodology for modeling abnormally low and/or high treatment outcomes, with applications in clinical and translational medicine, health economics, and personalized care.