Financial Management II (MAN304) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Financial Management II MAN304 General Elective 3 0 0 3 6
Pre-requisite Course(s)
N/A
Course Language English
Course Type Elective Courses
Course Level Bachelor’s Degree (First Cycle)
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Problem Solving.
Course Coordinator
Course Lecturer(s)
  • Asst. Prof. Dr. Burcu Dinçergök
Course Assistants
Course Objectives This course is aimed to enable students to understand the financial decision making process with an aim of firm value maximization.
Course Learning Outcomes The students who succeeded in this course;
  • Understanding the risk-return relationship
  • To be able to analyze the effects of leverage, to determine the appropriate capital structure.
  • Calculate the cost of capital
  • Developing an appropriate dividend policy
  • Managing working capital
Course Content Risk and return, cost of capital, financial leverage, capital structure, short-term financial planning.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Risk Analysis Course Book p. 208-228.
2 Risk Analysis. Course Book. p. 228-241.
3 Opportunity cost of capital Course Book p. 300-319.
4 Opportunity cost of capital Course Book p. 319-329.
5 Financial risk and capital structure Course Book. p. 406-430.
6 Financial risk and capital structure Course Book. p. 430-441.
7 Midterm
8 Capital structure decisions
9 Capital Structure Decisions
10 Dividend Policy Course book p. 442-461.
11 Financial Forecasting and Planning Course Book p. 462-472.
12 Financial forecasting and planning. Course Book p. 472-480.
13 Liquidity Management Course Book p. 492-503.
14 Liquidity management Course Book. p. 492-503.
15 International corporate finance Course Book p. 510-529.
16 Final

Sources

Course Book 1. "Foundations of Finance" Keown, Martin and Petty.

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation 14 10
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 5 30
Presentation - -
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 20
Final Exam/Final Jury 1 40
Toplam 21 100
Percentage of Semester Work 60
Percentage of Final Work 40
Total 100

Course Category

Core Courses X
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 Acquires skills to use the advanced theoretical and applied knowledge obtained at the mathematics bachelors program to do further academic and scientific research in both mathematics-based graduate programs and public or private sectors.
2 Transplants and applies the theoretical and applicable knowledge gained in their field to the secondary education by using suitable tools and devices.
3 Acquires the skill of choosing, using and improving problem solving techniques which are needed for modeling and solving current problems in mathematics or related fields by using the obtained knowledge and skills.
4 Acquires analytical thinking and uses time effectively in the process of deduction.
5 Acquires basic software knowledge necessary to work in the computer science related fields and together with the skills to use information technologies effectively.
6 Obtains the ability to collect data, to analyze, interpret and use statistical methods necessary in decision making processes.
7 Acquires the level of knowledge to be able to work in the mathematics and related fields and keeps professional knowledge and skills up-to-date with awareness in the importance of lifelong learning.
8 Takes responsibility in mathematics related areas and has the ability to work affectively either individually or as a member of a team.
9 Has proficiency in English language and has the ability to communicate with colleagues and to follow the innovations in mathematics and related fields.
10 Has the ability to communicate ideas with peers supported by qualitative and quantitative data.
11 Has professional and ethical consciousness and responsibility which takes into account the universal and social dimensions in the process of data collection, interpretation, implementation and declaration of results in mathematics and its applications.

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 3 48
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 14 3 42
Presentation/Seminar Prepration
Project
Report
Homework Assignments 5 5 25
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 1 15 15
Prepration of Final Exams/Final Jury 1 20 20
Total Workload 150