COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
CENG 406CURRENT TOPICS IN COMPUTER SCIENCE - II3 + 08th Semester5

COURSE DESCRIPTION
Course Level Bachelor's Degree
Course Type Elective
Course Objective Purpose of this course is to study the details on certain technological or theoretical topics related to the Computer Engineering field.
Course Content Examining and educating students in recent technologies in Computer Science and Information Technologies. Scanning academic publications on advanced Computer Science related topics. Undertaking projects in relevant topics.
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to face

COURSE LEARNING OUTCOMES
1Explains research methods
2Explains presentation preparation
3Provides presentation skills

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11PO 12
LO 01532   354533
LO 02532   354533
LO 03532   354533
Sub Total1596   915121599
Contribution532000354533

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14342
Hours for off-the-classroom study (Pre-study, practice)14228
Assignments14114
Mid-terms11616
Final examination13030
Total Work Load

ECTS Credit of the Course






130

5

COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2020-2021 Spring1MERİÇ ÇETİN
Details 2020-2021 Spring2TUFAN TURACI

Course Details
Course Code:  CENG 406 Course Title:  CURRENT TOPICS IN COMPUTER SCIENCE - II
L+P Hour : 3 + 0   Course Code : 1   Language Of Instruction: Turkish Course Semester :  2020-2021 Spring
Course Coordinator :  ASSOCIATE PROFESSOR MERİÇ ÇETİN E-Mail:  mcetin@pau.edu.tr Phone Number : 
Course Location MUH A0248,
Goals : Purpose of this course is to study the details on certain technological or theoretical topics related to the Computer Engineering field.
Content : Examining and educating students in recent technologies in Computer Science and Information Technologies. Scanning academic publications on advanced Computer Science related topics. Undertaking projects in relevant topics.
Attendance : %70
Topics
WeeksTopics
1 Introduction to computational neuroscience
2 Human brain physiology and function, brain regions, neurophysiology
3 Neuron types, synaptic interaction models, neuron simulators
4 Hodgkin-Huxley neuron model, Izhikevich neuron model, Hindmarsh–Rose neuron model, FitzHugh – Nagumo neuron model
5 Neurological, neuropsychological, neurodegenerative diseases and their mathematical models
6 Neuropsychopharmacology and smart drug use (drug dosing), animal behavior model
7 Computational models in cognitive science
8 Midterm
9 Artificial intelligence methods
10 Neural network simulation
11 Supervised, unsupervised and reinforced learning
12 Bayesian decision theory, Kalman filters
13 Predictive methods and observer designs
14 Predictive methods and observer designs
Materials
Materials are not specified.
Resources
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam55Final Exam
Midterm Exam35Midterm Exam
Homework10Homework
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes
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