Pamukkale University
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Information Package & Course Catalogue
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About University
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General Discription
Academic Calendar
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ECTS Credit Allocation
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FIRST CYCLE - BACHELOR'S DEGREE
FACULTY OF TECHNOLOGY
BIOMEDICAL ENGINEERING DEPARTMENT
185 BIOMEDICAL ENGINEERING
Course Information
Course Learning Outcomes
Course's Contribution To Program
ECTS Workload
Course Details
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COURSE INFORMATION
Course Code
Course Title
L+P Hour
Semester
ECTS
BMM 376
NEW TECHNICS IN COMPUTING SCIENCES
3 + 0
5th Semester
4
COURSE DESCRIPTION
Course Level
Bachelor's Degree
Course Type
Elective
Course Objective
Acquaring the ability to compute C++ and C# based programs.
Course Content
File applications, data applications, data mining technics
Prerequisites
No the prerequisite of lesson.
Corequisite
No the corequisite of lesson.
Mode of Delivery
Face to Face
COURSE LEARNING OUTCOMES
1
Paradigms
2
Advanced applications
3
Database operations
COURSE'S CONTRIBUTION TO PROGRAM
PO 01
PO 02
PO 03
PO 04
PO 05
PO 06
PO 07
PO 08
PO 09
PO 10
PO 11
PO 12
PO 13
PO 14
LO 001
LO 002
LO 003
Sub Total
Contribution
0
0
0
0
0
0
0
0
0
0
0
0
0
0
ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
Activities
Quantity
Duration (Hour)
Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)
14
3
42
Mid-terms
1
20
20
Final examination
1
22
22
Internet Searching/ Library Study
1
20
20
Total Work Load
ECTS Credit of the Course
104
4
COURSE DETAILS
Select Year
All Years
2023-2024 Spring
2021-2022 Spring
2020-2021 Spring
2018-2019 Fall
Course Term
No
Instructors
Details
2023-2024 Spring
1
METE OKAN ERDOĞAN
Details
2021-2022 Spring
1
METE OKAN ERDOĞAN
Details
2020-2021 Spring
1
METE OKAN ERDOĞAN
Details
2018-2019 Fall
1
HAMİD YEŞİLYAYLA
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Course Details
Course Code
Course Title
L+P Hour
Course Code
Language Of Instruction
Course Semester
BMM 376
NEW TECHNICS IN COMPUTING SCIENCES
3 + 0
1
Turkish
2023-2024 Spring
Course Coordinator
E-Mail
Phone Number
Course Location
Attendance
Lecturer METE OKAN ERDOĞAN
meteokan@pau.edu.tr
TEK A0208
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Goals
Acquaring the ability to compute C++ and C# based programs.
Content
File applications, data applications, data mining technics
Topics
Weeks
Topics
1
2
3
4
5
6
7
8
9
10
11
12
13
14
Materials
Materials are not specified.
Resources
Course Assessment
Assesment Methods
Percentage (%)
Assesment Methods Title
Final Exam
50
Final Exam
Midterm Exam
30
Midterm Exam
Homework
20
Homework
L+P:
Lecture and Practice
PQ:
Program Learning Outcomes
LO:
Course Learning Outcomes
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Home Page
About University
Name And Address
Acedemic Authorities
General Discription
Academic Calendar
General Admission Requirements
Recognition of Prior Learning
General Registration Procedures
ECTS Credit Allocation
Academic Guidance
Information For Students
Cost Of Living
Accommodation
Meals
Medical Facilities
Facilities for Special Needs Students
Insurance
Financial Support for Students
Student Affairs
Learning Facilities
International Programs
Language Courses
Internships
Sports Facilities and Leisure Activities
Student Associations
Practical Information for Mobile Students
Degree Programmes