ECTS - English for Academic Purposes II

English for Academic Purposes II (ENG102) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
English for Academic Purposes II ENG102 2. Semester 4 0 0 3 3.5
Pre-requisite Course(s)
N/A
Course Language English
Course Type Compulsory Departmental 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, Project Design/Management.
Course Coordinator
Course Lecturer(s)
  • Instructor MDB Öğretim Görevlileri / DML Instructors
Course Assistants
Course Objectives This course aims to: • help students improve their academic skills, which are crucial in their departmental studies to enable them to follow their departmental courses with ease as an Independent User at level B2 as stated in the Common European Framework of Reference, • help students develop critical thinking skills and further improve English study skills through written and oral activities and use of technology.
Course Learning Outcomes The students who succeeded in this course;
  • Reading • read and analyze texts critically, • draw conclusions based on the information given, • synthesize information from texts, • evaluate the author’s thesis in a critical way to develop for and against arguments,
  • Listening • demonstrate critical listening skills to get the gist and key information from oral input.
  • Speaking • give theme-based short presentations.
  • Writing • write a well-structured persuasive essay,
Course Content Academic skills such as reading comprehension, class discussions, use of academic vocabulary and critical analysis of texts; research assignments and review of the English language structure; skills such as listening and note-taking, analysis of written products, writing, presentation and use of technology.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Orientation Course Memo
2 Unit 5 Extra Input I Course Book pp: 84-88 Extra Input I Course Book pp: 84-88
3 Unit 5 Extra Input II Course Book pp: 90-93
4 Unit 5 Presentation Input Course Book pp: 94, 95, 101
5 Unit 5 Extra Input III Course Book pp: 102-103
6 Unit 6 Course Book pp: 104-108 Course Book pp: 110-115, 121
7 PRESENTATIONS
8 UNIT 6 Course Book pp: 122-123 Revision
9 Yazma Çalışması
10 Unit 7 Course Book pp: 124-129 Course Book pp: 130-133
11 Unit 7 Course Book pp: 134, 135, 139, 141
12 Yazma Mini Sınav
13 Unit 8 Course Book pp: 142-147 Course Book pp: 148-151
14 Unit 8 Course Book pp: 152, 153, 154, 159 Revision
15 REVISION
16 FINAL EXAM

Sources

Course Book 1. Skillful 3, Macmillan Education, Third edition, Louis Rogers & Dorothy Zemach
Other Sources 2. MDB öğretim görevlileri tarafından hazırlanan ek materyaller / Supplementary materials prepared by DML Instructors

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics 1 15
Homework Assignments 1 20
Presentation 1 10
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 25
Final Exam/Final Jury 1 30
Toplam 5 100
Percentage of Semester Work 60
Percentage of Final Work 40
Total 100

Course Category

Core Courses
Major Area Courses
Supportive Courses X
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. X
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.
9 Recognition of the need for lifelong learning; the ability to access information, to follow recent developments in science and technology. X
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 4 64
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 16 1 16
Presentation/Seminar Prepration 1 1 1
Project
Report
Homework Assignments 1 1 1
Quizzes/Studio Critics 1 2 2
Prepration of Midterm Exams/Midterm Jury 1 2 2
Prepration of Final Exams/Final Jury 1 3 3
Total Workload 89