Recommended Courses

The following courses may benefit students interested in machine intelligence. These courses are in various disciplines related to study of biological foundation of neural systems, hardware implementation, psychology, mathematics and computational methods for intelligence.  They are offered by different departments at Ohio University (biology, computer science, engineering, mathematics, and neurophysiology).  Selection of courses may vary depending on individual student’s interests and individually approved program of study.  Selecting some of these courses students must also satisfy all graduate program requirements of the School of Electrical Engineering and Computer Science as indicated in the Graduate Catalog.

 

BIOLOGY

BIOS 513A

HUMAN NEUROSCIENCE

BIOS 542

PRIN OF PHYSIOLOGY

BIOS 550

PRIN ENDOCRINOLOGY

BIOS 515

NEURAL CONT SENS & MOVE

BIOS 543

PRIN OF PHYSIOLOGY

BIOS 517

COGNITIVE NEUROSCIENCE

BIOS 518

METHODS IN COMPUTATIONAL NEUROSCIENCE

 

 

COMPUTER SCIENCE

C S 580

ARTIFICIAL INTELLIGENCE

C S 590

ROBOTICS VIA ROBOCUP

C S 590

ROBOCUP

C S 682

AI: CASE-BASED REASONING

C S 520N

ORG OF PROG LANG

C S 542

OPER SYS&COMPUTER ARC I

C S 550

ADV OOD & GUI TECHNIQUES

C S 506

COMPUTATION THEORY

C S 512

PARALLEL COMPUTING

C S 641

MEDICAL IMAGE ANALYSIS

C S 680

ADV ARTIFICIAL INTEL

C S 612

REAL TIME SYSTEMS

C S 685

IMAGE UNDERSTANDING

C S 625

COMP GRAPHICS VISUALIZE

 

ENGINEERING

 

Biomedical Engineering

BME 501

BIOMED ENG AT OU

BME 642

AI IN MEDICINE

BME 567

BIOMECHANICS

BME 641

MEDICAL IMAGE ANALYSIS

 

Electrical, Computer, and Systems Engineering

E E 514

VHDL DESIGN

E E 529

ROBOTIC MANIPULATORS

E E 561A

DIG SYS & COMP DESIGN

E E 570

COMMUNICATION ENGR

E E 590

ROBOTICS VIA ROBOCUP

E E 616

CMPTR ANAL-EL CRCTS

E E 664

DIG IMAGE PROC

E E 674

INFORMATION TRANSMI

E E 515

INTRODUCTION TO VLSI

E E 567

ADVANCED MICROPROCESSORS

E E 571

STOCHASTIC PROCESSES

E E 590

ROBOCUP

E E 617

TESTABLE DESIGN

E E 663

PARALELL CMPTRS

E E 666

PATTERN RECOG

E E 510

SEMICONDUCTOR PRINCIPLES

E E 516

VLSI DESIGN II

E E 520

NANOELECTRONICS

E E 562

DIGITAL SYSTEMS II

E E 568

MICROCOMPUTERS II

E E 572

INTRO DIG COMM

E E 525

CONTROL THEORY I

E E 526

CONTROL THEORY II

E E 527

CONTROL THEORY III

 

Industrial and Systems Engineering

ISE 548

HUMAN-MACHINE SYSTEMS

ISE 626

ARTF NEURAL NETS IN MFG

ISE 506

ENGINEERING STATISTICS

ISE 555

INFO SYSTEMS ENGR

ISE 560

COMPUTER INTEGRATED MFG

ISE 710

GENETIC ALG IN MANUFACT

 

Mechanical Engineering

M E 529

ROBOTIC MANIPULATORS

M E 604

ROBOTICS

 

MATHEMATICS

MATH 544

NUMERICAL ANALYSIS

MATH 550A

THEORY OF STATISTICS

MATH 642A

OPTIMIZATION THEORY

MATH 645A

DIFFERENTIAL EQU

MATH 651A

LINEAR MODELS

MATH 761A

FUNCTIONAL ANALYSIS

MATH 543

MATH MODELING & OPTIMIZAT

MATH 545

ADV NUMERICAL METHODS

MATH 550B

THEORY OF STATISTICS

MATH 555

ACTUARIAL SCIENCE

MATH 629

NUMER ANALYSIS LINEAR ALG

MATH 642B

OPTIMIZATION THEORY

MATH 645B

DIFFERENTIAL EQUATIONS

MATH 651B

TIME SERIES ANALYSIS

MATH 859

TOPICS IN PROB STAT & STO

MATH 541

FOURIER ANAL PAR DIFF EQS

MATH 546

NUMERICAL LINEAR ALGEBRA

MATH 550C

THEORY OF STATISTICS

MATH 551

STOCHASTIC PROCESS

MATH 552

STATISTICAL COMPUTING

MATH 570

APPLIED COMPLEX VARIABLES

MATH 642C

OPTIMIZATION THEORY

MATH 645C

DIFFERENTIAL EQU

MATH 652

EXPERIMENTAL DESIGN

MATH 660

REAL ANALYSIS

MATH 761B

FUNCTIONAL ANALYSIS

 

PSYCHOLOGY

PSY 525

ELEM EXPERIMENT PSY

PSY 621

INTER STAT BEHAV SC

PSY 633

PSY PERSONALITY

PSY 704

COGNITIVE PROCESSES

PSY 748A

NEUROPSYCHOLOGY I

PSY 773

DEVELOPMENTAL PSY

PSY 623

DESIGN ANALYSIS EXP

PSY 748B

NEUROPSYCHOLOGY II

PSY 894O

MATH MODELS IN COGNITION