Gokhan Kul

Gokhan Kul, PhD

Assistant Professor

Computer & Information Science

508-910-6484

gkul@umassd.edu

Dion 307B

Education

2018University at Buffalo, SUNYPhD in Computer Science
2012Middle East Technical UniversityMS in Computer Engineering
2010TOBB University of Economics and TechnologyBS in Computer Engineering

Teaching

  • Digital Forensics

Teaching

Programs

Teaching

Courses

Laws of computer organization and design for RISC architectures. Interfaces between hardware and software are studied. Influence of instruction set on performance is presented. Design of a processor with pipelining is analyzed. Computer arithmetic is studied. Memory hierarchy and their influence on performance is documented. Elements of interfacing and I/O organization are included. The course has a design, implementation, and analytical components. (Formerly offered as CIS 270)

The relational, hierarchical, and network approaches to database systems, including relational algebra and calculus, data dependencies, normal forms, data semantics, query optimization, and concurrency control on distributed database systems.

Department seminar presentations by speakers from industry and academia in addition to UMass Dartmouth faculty, and CIS Master student thesis defense presentations that are scheduled during the seminar course time slot. Students are required to attend these presentations and participate in technical discussions and write a report by the end of the semester.

Prerequisites: Completion of three core courses.   Development of a detailed, significant project in computer science under the close supervision of a faculty member, perhaps as one member of a student team. This project may be a software implementation, a design effort, or a theoretical or practical written analysis. Project report with optional oral presentation must be evaluated by three faculty members including the project supervisor.  

A team-based learning experience that gives students the opportunity to synthesize prerequisite course material and to conduct real-world analytics projects using large data sets of diverse types and sources. Students work in independent teams to design, implement, and evaluate an appropriate data integration, analysis, and display system. Oral and written reports and ethical aspects are highlighted.

Research

Research Interests

  • Cybersecurity
  • Database Systems

External links

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