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 Has adequate knowledge in mathematics, science, and computer engineering-specific subjects; uses theoretical and practical knowledge in these areas to solve complex engineering problems.
2 Identifies, defines, formulates, and solves complex engineering problems; selects and applies appropriate analysis and modeling methods for this purpose.
3 Designs a complex system, process, device, or product to meet specific requirements under realistic constraints and conditions; applies modern design methods for this purpose.
4 Develops, selects, and uses modern techniques and tools necessary for the analysis and solution of complex problems encountered in computer engineering applications; uses information technologies effectively.
5 Designs experiments, conducts experiments, collects data, analyzes and interprets results for the investigation of complex engineering problems or research topics specific to the discipline of computer engineering.
6 Works effectively in disciplinary and multidisciplinary teams; gains the ability to work individually.
7 Communicates effectively in Turkish, both orally and in writing; writes effective reports and understands written reports, prepares design and production reports, makes effective presentations, gives and receives clear and understandable instructions.
8 Knows at least one foreign language; writes effective reports and understands written reports, prepares design and production reports, makes effective presentations, gives and receives clear and understandable instructions. X
9 Has awareness of the necessity of lifelong learning; accesses information, follows developments in science and technology, and continuously improves oneself.
10 Acts in accordance with ethical principles and has awareness of professional and ethical responsibility.
11 Has knowledge about the standards used in computer engineering applications.
12 Has knowledge about workplace practices such as project management, risk management, and change management.
13 Gains awareness about entrepreneurship and innovation.
14 Has knowledge about sustainable development.
15 Has knowledge about the health, environmental, and safety impacts of computer engineering applications in universal and societal dimensions and the contemporary issues reflected in the field of engineering.
16 Gains awareness of the legal consequences of engineering solutions.
17 Analyzes, designs, and expresses numerical computation and digital representation systems.
18 Uses programming languages and appropriate computer engineering concepts to solve computational 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