German II (GER202) Course Detail

Course Name	Course Code	Season	Lecture Hours	Application Hours	Lab Hours	Credit	ECTS
German II	GER202	General Elective	3	0	0	3	4

Pre-requisite Course(s)
GER201

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, Discussion, Question and Answer, Drill and Practice, Problem Solving, Team/Group, Role Play.
Course Coordinator
Course Lecturer(s)	Instructor MDB Diğer Diller Öğr.Gör.
Course Assistants
Course Objectives	The general aim of the course is to help students gain basic German language skills in order to communicate in level A1* (Basic User) as stated in Common European Framework of Reference as the continuation of GER201.
Course Learning Outcomes	The students who succeeded in this course; At the end of this course, the students Reading: • be able to read and follow instructions, • improves reading skills, Speaking: • talk about daily activities, • be able to talk about past activities, Listening: • find the basic idea in listening texts, • make determinations on language use and pronunciation through listening, Writing: • be able to complete dialogue and answer relevant questions, • be able to write short texts for different purposes, Technology use: • Taking responsibility by doing the necessary technological activities on time.
Course Content	Vocabulary, structure and communicative skills at beginners level; various themes such as transport, travel, dates, holidays, money, and shopping.

Weekly Subjects and Releated Preparation Studies

Week	Subjects	Preparation
1	Course introduction	Course memo
2	Modul 5 / Lektion 13 Wir suchen das Hotel Maritim	Couse book pp: 9-12
3	Yaşam 1.1 Yaşanan durumları tarif etme 1.2 Perfect tense with “haben“ „sein“	Couse book pp: 13-16
4	Modul 5 / Lektion 15 In Giesing wohnt das Leben	Couse book pp: 17-19
5	Modul 6 / Lektion 16 Wir haben hier ein Problem	Couse book pp: 25- 28
6	Modul 6 / Lektion 17 Wer will Popstar werden?	Couse book pp: 29 - 32
7	Modul 6 / Lektion 18 Geben Sie ihm doch diesen Tee! Modalverb: sollen	Couse book pp: 33-36
8	MIDTERM
9	Modul 7 / Lektion 19 Der hatte doch keinen Bauch!	Couse book pp: 41-43
10	Modul 7 / Lektion 20 Komm sofort runter!	Couse book pp: 45- 47
11	Modul 7 / Lektion 21 Bei Rot musst du stehen, bei Grün darfst du gehen Modalverb: dürfen, müssen	Couse book pp: 49- 51
12	Modul 8 / Lektion 22 Am besten sind seine Schuhe! Komparativ	Couse book pp: 57-58
13	Modul 8 / Lektion 23 Ins Wasser gefallen?	Couse book pp: 61-64
14	Modul 8 / Lektion 24 Ich würde am liebsten jeden Tag feiern.	Couse book pp: 65-68
15	REVISION
16	FINAL EXAM

Sources

Course Book	1. Menschen A1.2/Kursbuch Arbeitsbuch
Other Sources	2. MDB Diğer Dil öğretim görevlileri tarafından hazırlanan ek 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
#	Program Qualifications / Competencies	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)	16	3	48
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class	16	2	32
Presentation/Seminar Prepration
Project
Report
Homework Assignments	2	5	10
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury	1	5	5
Prepration of Final Exams/Final Jury	1	5	5
Total Workload			100