German III (GER301) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
German III GER301 General Elective 3 0 0 3 4
Pre-requisite Course(s)
GER202
Course Language German
Course Type Elective Courses
Course Level Bachelor’s Degree (First Cycle)
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Demonstration, Discussion, Question and Answer, Drill and Practice, Problem Solving, Team/Group, Brain Storming, Role Play, Project Design/Management.
Course Coordinator
Course Lecturer(s)
  • Instructor MDB Diğer Diller Öğr.Gör.
Course Assistants
Course Objectives The general aim of this course is to help students gain the necessary German language skills in order to communicate in level A2* (Basic User) as stated in Common European Framework of Reference as the continuation of GER201 andGER202.
Course Learning Outcomes The students who succeeded in this course;
  •  read, talk about and describe cities and countries (make comparisons, express opinions, etc.),
  • read and follow the instructions,
  • talk about tourism and hotel services (ask for and give suggestions), express likes and dislikes and order meals, daily routines,
  • • find the main point of the listening texts
  • • answer related questions about the listening texts,
  • • complete the dialogues and answer the related questions,
  • • write letters, e-mails and notes.
Course Content More vocabulary, structure and communicative skills at elementary level; various themes such as occupations, hobbies, countries, and functions such as asking for and giving information, offering and responding.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Orientation Course memo
2 Lesson 1 Talking abour jobs, telling family stories in a sequential way Course book pp: 9-12
3 Lesson 2 Jobs Course book pp: 12-15
4 Lesson 2 Evaluating things, expressing wants, wishes and preferences Course book pp: 15-20
5 Lesson 4 Doing shopping, expressing wills Course book pp: 25-27
6 Lesson 5 Collective planning, informing about /announcing something Course book pp: 29-31
7 Lesson 6 Offering, accepting, declining something, dating, giving appointments Course book pp: 34-36
8 MIDTERM EXAM
9 Lesson 7 Asking for opinions, giving advice, giving suggestions Course book pp: 43-46
10 Lesson 8: Expressing sorrow, anxiety, and hope Course book pp: 47-50
11 Lesson 9 Expressing /explaining an important thing Course book pp: 51-58
12 Lesson10 Ordering food in a restaurant Course book pp: 59-62
13 Lesson 11 Judging about something Course book pp: 63-66
14 Lesson 12 Comparing things, expressing surprises, Course book pp: 67-73
15 REVISION
16 FINAL EXAM

Sources

Course Book 1. Menschen A2.1/Kurschbuch Arbeitsbuch;S.Evans,A.Pude;F.Specht;Hueber Verlag
Other Sources 2. MDB Diğer Dil öğretim görevlileri tarafından hazırlanan görsel ve yazılı materyaller

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 2 30
Presentation - -
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 30
Final Exam/Final Jury 1 40
Toplam 4 100
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 Adequate knowledge in mathematics, science and subjects specific to the computer engineering discipline; the ability to apply theoretical and practical knowledge of these areas to complex engineering problems.
2 The ability to identify, define, formulate and solve complex engineering problems; selecting and applying proper analysis and modeling techniques for this purpose.
3 The ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose.
4 The ability to develop, select and utilize modern techniques and tools essential for the analysis and determination of complex problems in computer engineering applications; the ability to utilize information technologies effectively.
5 The ability to design experiments, conduct experiments, gather data, analyze and interpret results for the investigation of complex engineering problems or research topics specific to the computer engineering discipline.
6 The ability to work effectively in inter/inner disciplinary teams; ability to work individually
7 Effective oral and writen communication skills in Turkish; the ability to write effective reports and comprehend written reports, to prepare design and production reports, to make effective presentations, to give and to receive clear and understandable instructions.
8 The knowledge of at least one foreign language; the ability to write effective reports and comprehend written reports, to prepare design and production reports, to make effective presentations, to give and to receive clear and understandable instructions. X
9 Recognition of the need for lifelong learning; the ability to access information, to follow recent developments in science and technology.
10 The ability to behave according to ethical principles, awareness of professional and ethical responsibility;
11 Knowledge of the standards utilized in software engineering applications
12 Knowledge on business practices such as project management, risk management and change management;
13 Awareness about entrepreneurship, innovation
14 Knowledge on sustainable development
15 Knowledge on the effects of computer engineering applications on the universal and social dimensions of health, environment and safety;
16 Awareness of the legal consequences of engineering solutions
17 An ability to describe, analyze and design digital computing and representation systems.
18 An ability to use appropriate computer engineering concepts and programming languages in solving computing problems.

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 14 3 42
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 16 3 48
Presentation/Seminar Prepration
Project
Report
Homework Assignments 2 2 4
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 1 2 2
Prepration of Final Exams/Final Jury 1 4 4
Total Workload 100