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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
SER 112QUANTITATIVE TECHNIQUES AT FINANCE2 + 03rd Semester4

COURSE DESCRIPTION
Course Level Bachelor's Degree
Course Type Compulsory
Course Objective To provide students the knowledge accumulation in quantitative analysis issue thuswise to enable them use that accumulation in their studies within the various areas
Course Content System and model conceptions, relations, components, linear and non-linear relations, linear programing, structure and solution techniques, transportation and assignment models, decision making theory, network models, cpm, pert techniques, game theory
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1Relates decision making problems
2Resolves decision making problems
3Applies linear programming techniques
4Constitutes decision making problems as model
5Defines problems of decision making to be confronted in financial sector

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10
LO 001433 5 5   
LO 002    5 5   
LO 003    5 5   
LO 004    5 5   
LO 005334 5 5   
Sub Total767 25 25   
Contribution1110505000

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14228
Hours for off-the-classroom study (Pre-study, practice)14456
Mid-terms188
Final examination11212
Total Work Load

ECTS Credit of the Course






104

4
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2020-2021 Fall1SAMURAY KARACA


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
SER 112 QUANTITATIVE TECHNIQUES AT FINANCE 2 + 0 1 Turkish 2020-2021 Fall
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Lecturer SAMURAY KARACA skaraca@pau.edu.tr UBYO A0017 %70
Goals To provide students the knowledge accumulation in quantitative analysis issue thuswise to enable them use that accumulation in their studies within the various areas
Content System and model conceptions, relations, components, linear and non-linear relations, linear programing, structure and solution techniques, transportation and assignment models, decision making theory, network models, cpm, pert techniques, game theory
Topics
WeeksTopics
1 Decision Theory
2 Decision Environments
3 Environment of Uncertainty Decision Criteria
4 Risk Environment Decision Criteria
5 Methods in Solving Problems in Linear Programming, Grafic Methods
6 Linear programming, Problems in Linear Programming and Models
7 Profit planning (Cost-Volume-Profit Analysis)
8 Profit planning (Cost-Volume-Profit Analysis)
9 The problems in Transportation and Assignment : Methods in Solvence
10 Getting the Best Solvence
11 Special Occasions in Transportation
12 Sensitivity Solvence in Transportation
13 Assignment: Problems and Solutions
14 Netowrk models, CPM and PERT techniques,Decision and Game Theory Approaches
Materials
Materials are not specified.
Resources
ResourcesResources Language
Kantitatif Karar Verme Teknikleri, Mahmut TekinTürkçe
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam60Final Exam
Midterm Exam40Midterm Exam
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes