FACULTY OF ARTS AND SCIENCES

Department of Mathematics

GEAR 203 | Course Introduction and Application Information

Course Name
Masterpieces in Music History
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
GEAR 203
Fall/Spring
3
0
3
4

Prerequisites
None
Course Language
English
Course Type
Service Course
Course Level
First Cycle
Mode of Delivery -
Teaching Methods and Techniques of the Course -
Course Coordinator -
Course Lecturer(s)
Assistant(s) -
Course Objectives The aim of this course is to learn the masterworks of music and to identify the essential differences between them and any ordinary work.
Learning Outcomes The students who succeeded in this course;
  • will be able to Identify the difference between a masterwork and an ordinary work.
  • will be able to Describe the perfect balance of a masterwork.
  • will be able to Classify masterworks in music history
  • will be able to Compare different characteristics of different masterworks.
  • will be able to Discuss why all masterworks are also the most popular works.
Course Description Through this course masterworks of music and basic information on those works will be presented

 



Course Category

Core Courses
Major Area Courses
Supportive Courses
Media and Management Skills Courses
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Related Preparation
1 Orientation and introduction to the course Orientation and introduction to the course
2 Beethoven: Symphony no 5 Beethoven: Symphony no 5
3 Bach toccata and fugue BWV 565, Mozart Symphony no 40 Bach toccata and fugue BWV 565, Mozart Symphony no 40
4 Beethoven Symphony no 7 Beethoven Symphony no 7
5 Dvorak: Symphony no 9 “From the new world” Dvorak: Symphony no 9 “From the new world”
6 Grieg: Piano Concerto Grieg: Peer Gynt Suit Grieg: Piano Concerto Grieg: Peer Gynt Suit
7 Beethoven: Symphony no 9 Beethoven: Symphony no 9
8 Tchaikovsky: Piano Concerto Tchaikovsky: Piano Concerto
9 Mozart Don Giovanni act1 Mozart Don Giovanni act1
10 Mozart Don Giovanni act 2 Mozart Don Giovanni act 2
11 Midterm
12 Carl Orff: Carmina Burana Carl Orff: Carmina Burana
13 Bach: Coffee Cantata Bach: Concerto for 2 pianos in C major Bach: Coffee Cantata Bach: Concerto for 2 pianos in C major
14 Liszt Piano Concerto no 1 Mendelssohn Violin Concerto op 64 Liszt Piano Concerto no 1 Mendelssohn Violin Concerto op 64
15 Student Presentation
16 General evaluation

 

Course Notes/Textbooks

Powerpoint Presentation and Personal Archive

Suggested Readings/Materials

Sadie, Stanley Grove Music Dictionary

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
1
10
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
1
15
Presentation / Jury
1
15
Project
Seminar / Workshop
Oral Exams
Midterm
1
25
Final Exam
1
35
Total

Weighting of Semester Activities on the Final Grade
4
65
Weighting of End-of-Semester Activities on the Final Grade
1
35
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Theoretical Course Hours
(Including exam week: 16 x total hours)
16
3
48
Laboratory / Application Hours
(Including exam week: '.16.' x total hours)
16
0
Study Hours Out of Class
14
2
28
Field Work
0
Quizzes / Studio Critiques
0
Portfolio
0
Homework / Assignments
1
8
8
Presentation / Jury
1
10
10
Project
0
Seminar / Workshop
0
Oral Exam
0
Midterms
1
8
8
Final Exam
1
8
8
    Total
110

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1

To be able to have a grasp of basic mathematics, applied mathematics or theories and applications of statistics.

2

To be able to use advanced theoretical and applied knowledge, interpret and evaluate data, define and analyze problems, develop solutions based on research and proofs by using acquired advanced knowledge and skills within the fields of mathematics or statistics.

3

To be able to apply mathematics or statistics in real life phenomena with interdisciplinary approach and discover their potentials.

4

To be able to evaluate the knowledge and skills acquired at an advanced level in the field with a critical approach and develop positive attitude towards lifelong learning.

5

To be able to share the ideas and solution proposals to problems on issues in the field with professionals, non-professionals.

6

To be able to take responsibility both as a team member or individual in order to solve unexpected complex problems faced within the implementations in the field, planning and managing activities towards the development of subordinates in the framework of a project.

7

To be able to use informatics and communication technologies with at least a minimum level of European Computer Driving License Advanced Level software knowledge.

8

To be able to act in accordance with social, scientific, cultural and ethical values on the stages of gathering, implementation and release of the results of data related to the field.

9

To be able to possess sufficient consciousness about the issues of universality of social rights, social justice, quality, cultural values and also environmental protection, worker's health and security.

10

To be able to connect concrete events and transfer solutions, collect data, analyze and interpret results using scientific methods and having a way of abstract thinking.

11

To be able to collect data in the areas of Mathematics or Statistics and communicate with colleagues in a foreign language.

12

To be able to speak a second foreign language at a medium level of fluency efficiently.

13

To be able to relate the knowledge accumulated throughout the human history to their field of expertise.

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest

 


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