BAYBURT University Information Package / Course Catalogue

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Description of Individual Course Units
Course Unit CodeCourse Unit TitleType of Course UnitYear of StudySemesterNumber of ECTS Credits
BT208.8B3Latest Trends in Computer ScienceElective244
Level of Course Unit
Short Cycle
Objectives of the Course
The aim of this course is to give information about the latest trends in computer science in the ages and changing computer sciences, and to transfer research areas and job opportunities related to those technologies to students.
Name of Lecturer(s)
Öğr. Gör. Eda SAKA ŞİMŞEK
Learning Outcomes
1To have information about the latest trend technologies in Computer Science
2To recognize and understand the problems contained in the latest trend technologies in Computer Science
3Learning job opportunities related to the latest trend technologies in Computer Science
Mode of Delivery
Normal Education
Prerequisites and co-requisities
None
Recommended Optional Programme Components
None
Course Contents
Informing students about the latest trends in computer science, which is constantly developing and changing, can transfer possible research areas and job opportunities related to those technologies to students.
Weekly Detailed Course Contents
WeekTheoreticalPracticeLaboratory
1Artificial IntelligenceArtificial Intelligence
2Machine LearningMachine Learning
3RoboticsRobotics
4Unmanned Air VehiclesUnmanned Air Vehicles
5Cloud ComputingCloud Computing
6Edge ComputingEdge Computing
7Virtual/Augmented RealityVirtual/Augmented Reality
8Midterm ExamMidterm Exam
9Cyber SecurityCyber Security
10BlockchainBlockchain
115G5G
12Internet of ThingsInternet of Things
13Software Defined NetworksSoftware Defined Networks
14Big DataBig Data
15Overall EvaluationsOverall Evaluations
Recommended or Required Reading
Instructor notes
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
Term (or Year) Learning ActivitiesQuantityWeight
Midterm Examination1100
SUM100
End Of Term (or Year) Learning ActivitiesQuantityWeight
Final Examination1100
SUM100
Term (or Year) Learning Activities40
End Of Term (or Year) Learning Activities60
SUM100
Language of Instruction
Work Placement(s)
None
Workload Calculation
ActivitiesNumberTime (hours)Total Work Load (hours)
Midterm Examination111
Final Examination122
Attending Lectures14342
Self Study14342
Individual Study for Mid term Examination177
Individual Study for Final Examination11414
TOTAL WORKLOAD (hours)108
Contribution of Learning Outcomes to Programme Outcomes
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15
LO1222133342233322
LO2433323322222333
LO3323332232333322
* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High