Spanish II (SPAN202) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Spanish II SPAN202 General Elective 3 0 0 3 4
Pre-requisite Course(s)
SPAN201
Course Language Spanish
Course Type Elective Courses
Course Level Bachelor’s Degree (First Cycle)
Mode of Delivery Distance
Learning and Teaching Strategies Lecture, Discussion, Question and Answer, Drill and Practice, Problem Solving, Team/Group, Role Play, Project Design/Management.
Course Coordinator
Course Lecturer(s)
  • Instructor MDB Öğr.Gör.
Course Assistants
Course Objectives The general aim of the course is to help students gain basic Spanish language skills in order to communicate in level A1* (Basic User) as stated in Common European Framework of Reference as the continuation of SPAN201.
Course Learning Outcomes The students who succeeded in this course;
  • At the end of this course, the students Reading: • be able to recognize the alphabet, • find the main idea in short texts, • identify specific information in a text,
  • Speaking: • give personal information, • talk about their daily activities,
  • Listening: • find the basic idea in listening texts, • make determinations on the use and pronunciation of Spanish 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, shopping, plans, and life changes.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Orientation, Course Memo
2 Family Members, Describing people (Physical appearence and character), Interests, “gustar” ve “encantar” fiilleri Course book 70-76
3 Free time activities, Possive adjectives, basic communication, Songs Course book 77-83
4 Habits, Time, Order of actions (primero, después, luego…) Course book 84-89
5 Daily Routines, Days of the week Irregular verbs, Adverbs of Frequency Course book 90-94
6 Daily routines of famous people, Awards, Video Course book 95-97
7 Food, Food processes, Prepositions Course book 98-106
8 MIDTERM
9 Typical food food in Latin america and Spain, Gastronomy Map of Spain, Video Course book 107-111
10 Describing a place, İdeal place, Asking for address, Quantifiers Course book 112-120
11 Interests Speaking about interesting places Video Course book 121-125
12 Jobs, Qualifications, Adjectives to describe people Course book 126-130
13 Talking on past experiences, Past tense Talents and skills, Using “Saber” ve “Poder” verbs Course Book 131-135
14 Speaking about past experiences and habits, Video: CV Course book 136-139
15 REVISION
16 FINAL EXAM

Sources

Course Book 1. Aula Internacional Plus 1, Curso de Español. Difusión, Barcelona, 2020

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) 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