L
|
T
|
P/S
|
SW/FW
|
No. of PSDA
|
TOTAL
CREDIT UNITS
|
3
|
0
|
2
|
2
|
3
|
5
|
Course Title: Advanced Neural Networks Credit Units:5
Course Level: UG Course Code: CSE445
Course Objectives: This course will concentrate on modeling,
generation, and prediction of multiple inter-dependent variables. The course will introduce advanced techniques of neural computation. When appropriate the techniques will be linked to applications in translation,
conversation modeling, speed recognition,
graphics, and science. Skills from this course will be beneficial for applied and advanced research in artificial intelligence (e.g., robotics,
machine learning, process control), computational neuroscience (e.g., motor control) and cognitive sciences (e.g., perception, memory, reasoning). Course will also investigate some common models and their applications. Continuation
in the study of the philosophy, utility, and models of machine learning, such that students are able to propose original research with potential follow-up in a graduate research program. Expand the creativity of the students in all aspects of computing.
