Engineering and Computational Sciences

Ph.D. in Engineering and Computational Sciences (ENCS)

Graduate Program Co-coordinators
Dr. Muhammad Akbar, makbar@tnstate.edu
Dr. Tamara Rogers, trogers3@tnstate.edu

The Ph.D. in Engineering and Computational Sciences ENCS is a multidisciplinary research-based program that integrates the strengths of various disciplines of computer science, electrical and computer engineering, mechanical and manufacturing engineering, civil engineering, and systems engineering. The curriculum provides advanced knowledge and research experiences in the following concentration areas: (1) Engineering Systems and (2) Computational Sciences. The program prepares graduates for successful engagement in research and development, academia, and various research-based engineering industries.

 

Requirement

Hours

Description

Group I : PhD Common Core

12

4 common courses for all PhD students.

Group II: 

Concentration Core

9

3 courses required for students in a specific concentration. Students Select Engineering Systems Concentration or Computational Sciences Concentration

Group III:  Specialty Electives

27

9 courses across specialty areas within a concentration. Should be selected in consultation with the student’s advisor and dissertation committee.

Group IV:  Dissertation Hours

24

Dissertation research hours.

Professional Development and Ethics

0

This course will introduce PhD students to ethical issues related to the research enterprise and the responsible conduct of research, it will also cover topics related to professional development and preparation for careers in academia, research, and industry.

PhD Seminar

0

This course exposes students to the most recent research developments in the areas of Data Sciences, Cyber-Security, Networking and Engineering Systems Design, Modeling, and Manufacturing. Students attend weekly seminars delivered by invited engineers, computer scientists, and other professionals. Enrollment required each semester.

Total hours required

72

 

 

Admissions Policy:

For admission to the Ph.D. in ENCS program, the student must:

  1. Have a Master of Science in an engineering discipline or computer science, a Master of Engineering, or a master’s degree in a closely related field. Students with B.S. degrees with documented exceptional academic performance will also be considered.

  2. Submit a certificate of proficiency in English with the required scores as noted in the current TSU Graduate Catalog (for students that have a B.S. and/or master’s degree(s) from a foreign university).

  3. Have a minimum cumulative grade point average (GPA) of 3.30 on a 4.0 scale for their master’s degree to be eligible for unconditional admission to the Ph.D. program.

  4. Have above average grades in all of the pre-requisite courses in related mathematics, engineering, and computer science courses:

    1. Differential Equations

    2. Engineering Design

    3. Computer Programming

 

Degree Requirements:

  1. Students must maintain a 3.0 GPA during matriculation.. 

  2. The Ph.D. Program requires a total of 72 credit hours after the B.S. degree as outlined in the curriculum.

  3. Passing of the Comprehensive Written Examination, administered in two parts: Group I courses (2 courses from the common core) and Group II courses (2 courses from the concentration courses).

  4. Passing of the dissertation proposal within 2 semesters after passing the comprehensive written exam (and at least one semester before defending the dissertation research).

  5. After the approval of the dissertation proposal, students must complete dissertation research and submit completed dissertation to the advisory committee for approval.

  6. Upon approval by the advisory committee and the graduate school, the student must defend the research before the advisory committee at a public seminar before the faculty, students, alumni and/or industrial representatives.

  7. Upon successful oral defense of the research, submission of the written dissertation, and approval by the Coordinator of the Ph.D. program, the major advisor with the consent of the Ph.D. Advisory Committee will initiate recommendation for awarding of the degree.

 

ENCS Courses

Name

Course Number

Credit Hours

Group I: Common PhD Courses (12 Hours)

Advanced Computing

ENCS 6020

3

Advanced Applied Mathematics

ENCS 6010

3

Modeling and Simulation of Cyber Physical Systems

ENCS 6030

3

Software Engineering or

Systems Engineering

COMP 5100

3

CISE 5040

Group IIA: Engineering Systems Concentration Courses (9 Hours)

Engineering Design Optimization

ENCS 6200

3

Engineering Management And Quality Control

ENCS 6210

3

Engineering Statistics And Probability

ENCS 6260

3

Engineering Systems Concentration Specialty Electives (27 Hours)

Advanced Robotic Systems

ENCS 6110

3

Artificial Intelligence Robotics

ENCS 7100

3

Mechatronics Systems Design

ENCS 6120

3

Principles of Cyber Physical Systems

ENCS 7110

3

Systems Engineering and Modeling

Intelligent Systems and Machine Learning

CISE 5110

3

Finite System Analysis

ENCS 6280

3

Estimation Theory and System Identification

ENCS 7200

3

Advanced Materials

Fundamentals of Nanomaterials

ENCS 5300

3

Micro- and Nano-fabrication and Characterization Techniques

ENCS 6300

3

Solid State Physics and Devices

ENCS 7300

3

Transportation and Environmental Systems

Transportation Facilities Evaluation and Design

ENCS 6410

3

Transportation and Environmental Sustainability

ENCS 6420

3

Pavement, Environmental and Ground Water Design

ENCS 6430

3

Environmental and Transportation Risk Analysis

ENCS 6440

3

Thermal Sciences and Energy

Analysis of Modern Energy Conversion and Conservation Systems

ENCS 6530

3

Introduction to Computational Fluid Dynamics

MEEN 5430

3

Special Topics in Power Engineering

EECE 5330

3

Group IIB: Computational Sciences Concentration Courses (9 Hours)

Advanced Algorithms Design and Analysis

COMP 5200

3

Network Programming and Computing

COMP 6700

3

Distributed Algorithm Design and Data Analysis or

Digital and Computer Communications

COMP 6400

3

ENCS 6960

Computational Sciences Concentration Specialty Electives (27 Hours)

Data Sciences and Analytics

Hybrid and Relational Databases

COMP 5400

3

Machine Learning

COMP 6200

3

Data Mining

ENCS 6620

3

HPC and Bio-Informatics

Introduction to High-Performance Computing

COMP 5520

3

Introduction to Bioinformatics

COMP 5800

3

Bioinformatics and Computational Biology

COMP 6100

3

High-Performance Computing Applications

ENCS 7700

3

Cyber-security and Networking

Cryptography and Computer Security

COMP 5720

3

Introduction to Cyber Security

ENCS 6800

3

Graph Theory and Networks Analysis

ENCS 7800

3

Communications and Signal Processing

Digital and Computer Communications

ENCS 6960

3

Machine Learning

COMP 6200

3

Computer Vision

ENCS 7900

3

Applied Signal Processing

ENCS 7930

3

Group IV: Other Courses (24 Hours)

Professional Development and Ethics

ENCS 7070

0

PhD Seminar

ENCS 7080

0

Dissertation Courses

ENCS 7090

24

ENCS Course Descriptions_PhD in .pdf






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