Course Learning Outcomes (CLOs) are those describing the knowledge, skills and competencies that students are expected to achieve upon successful completion of the course. In this context, Course Learning Outcomes defined for this course unit are as follows:
|
|
|
|
| Knowledge
(Described as Theoritical and/or Factual Knowledge.)
|
1) To become familliar with sets, the classification of real numbers, and the real number line, and to name, illustrate, and relate properties of the real numbers in terms of their operations.
|
2) To review positive exponents, the zero exponents, negative exponents, rational exponents, principal roots, radicals, and the procedure of rationalizing the denominator.
|
3) To add, subtract, multiply, and divide algebraic expressions. To define a polynomial, to use special products, and to use long division to divide polynomials.
|
4) To state the basic rules for factoring and apply them to factor expressions.
To discuss equivalent equations, and to develop techniques for solving linear equations, including literal equations as well as fractional and radical equations that lead to linear equations.
|
5) To understand what a function is and to determine domains and function values.
|
| Skills
(Describe as Cognitive and/or Practical Skills.)
|
| Competences
(Described as "Ability of the learner to apply knowledge and skills autonomously with responsibility", "Learning to learn"," Communication and social" and "Field specific" competences.)
|
| Week |
Subject |
Materials Sharing * |
|
Related Preparation |
Further Study |
| 1) |
Review of Some Algebra |
Introductory Mathematical Analysis For Business, Economics, and the Life and Social Sciences
Ernest F. Haeussler, Richard S.Paul, Richard J.Wood
|
|
| 2) |
Exponents and Radicals |
Introductory Mathematical Analysis For Business, Economics, and the Life and Social Sciences
Ernest F. Haeussler, Richard S.Paul, Richard J.Wood
|
|
| 3) |
Operating with Algebraic Expressions, Factoring and Fractions |
Introductory Mathematical Analysis For Business, Economics, and the Life and Social Sciences
Ernest F. Haeussler, Richard S.Paul, Richard J.Wood
|
|
| 4) |
Equations, in Particular Linear and Quadratic Equations |
Introductory Mathematical Analysis For Business, Economics, and the Life and Social Sciences
Ernest F. Haeussler, Richard S.Paul, Richard J.Wood
|
|
| 5) |
Applications of Equations, Linear Inequalities, Applications of Linear Inequalities, Absolute Value |
Introductory Mathematical Analysis For Business, Economics, and the Life and Social Sciences
Ernest F. Haeussler, Richard S.Paul, Richard J.Wood
|
|
| 6) |
Functions and Graphs, Special Functions, Combinations of Functions, Inverse Functions |
Introductory Mathematical Analysis For Business, Economics, and the Life and Social Sciences
Ernest F. Haeussler, Richard S.Paul, Richard J.Wood
|
|
| 7) |
Exponential and Logarithmic Functions |
Introductory Mathematical Analysis For Business, Economics, and the Life and Social Sciences
Ernest F. Haeussler, Richard S.Paul, Richard J.Wood
|
|
| 8) |
Midterm |
|
|
| 9) |
Basic Counting Principle and Permutations |
Introductory Mathematical Analysis For Business, Economics, and the Life and Social Sciences
Ernest F. Haeussler, Richard S.Paul, Richard J.Wood
|
|
| 10) |
Combinations and Other Counting Principles |
Introductory Mathematical Analysis For Business, Economics, and the Life and Social Sciences
Ernest F. Haeussler, Richard S.Paul, Richard J.Wood
|
|
| 11) |
Sample Spaces and Events, Probability |
Introductory Mathematical Analysis For Business, Economics, and the Life and Social Sciences
Ernest F. Haeussler, Richard S.Paul, Richard J.Wood
|
|
| 12) |
Conditional Probability and Independent Events |
Introductory Mathematical Analysis For Business, Economics, and the Life and Social Sciences
Ernest F. Haeussler, Richard S.Paul, Richard J.Wood
|
|
| 13) |
Bayes's Formula |
Introductory Mathematical Analysis For Business, Economics, and the Life and Social Sciences
Ernest F. Haeussler, Richard S.Paul, Richard J.Wood
|
|
| 14) |
Discrete Random Variables and Expected Value |
Introductory Mathematical Analysis For Business, Economics, and the Life and Social Sciences
Ernest F. Haeussler, Richard S.Paul, Richard J.Wood
|
|
(KPLOs and SPLOs are the abbreviations for Key & Sub- Programme Learning Outcomes, respectively. )
| |
Programme Learning Outcomes |
Contribution Level (from 1 to 5) |
1) |
Evaluates cognitive, psychological, social reasons and consequences of human behavior. |
5 |
|
1.1 Comprehends relation of psychology with other social sciences and analyzes psychological processes with an interdisciplinary approach. |
5 |
|
1.2 Uses research methods and techniques such as data collection, analysis and interpretation effectively. |
5 |
|
1.3 Has advanced academic and clinical knowledge, skills and experience in different fields of psychology. |
3 |
|
1.4 Explains basic psychological concepts, models and theories; analyzes psychological processes. |
|
|
2) |
Comprehends his/her professional competencies and limitations. |
1 |
|
2.1 Takes social context into account while evaluating personal factors and issues. |
1 |
|
2.2 Tries to contribute to the solution of social problems using his/her professional knowledge and social skills. |
1 |
|
2.3 Acquires new information about psychological issues and practices by following current research in psychology. |
|
|
2.4 Improves his/her skills as a psychologist by participating in trainings in the field of psychology. |
3 |
|
3) |
Reflects his/her knowledge, academic and clinical experience acquired in psychology education in professional practice effectively. |
4 |
|
3.1 Demonstrates advanced analytical skills, problem solving and critical thinking skills in professional work. |
4 |
|
3.2 Works within professional ethical principles making unprejudiced and non-discriminatory professional assessment in practice and academic research. |
4 |
|
3.3 Conducts preventive activities to alleviate possible problems in practice; contributes to improvement of professional practice. |
3 |
|
|
|
|
4) |
Applies the theoretical knowledge in business life during a semester. |
|
|
4.1 Experiences all processes in business life. |
|
|
4.2 Takes part in activities related to the field of education in a business operating in the field. |
|
|
4.3 Questions the application with theoretical knowledge. |
|
|
4.4 Compiles the knowledge and experience gained in the field. |
|
|
5) |
Acquires the competencies that develop by the expectations of business world and the society defined as the institutional outcomes of our university on the advanced level in relation with his/her field. |
|
|
5.1 Acquires the analyzing solving the problems and managing the conflicts. |
|
|
5.2 Participates as a team member and takes responsibility in the environments that require the solving of the conflicts and acts as a leader when necessary. |
|
|
5.3 Has awareness for ethical and social responsivity. |
|
|
5.4 By supporting the learnt courses with quantitative and qualitative data; and by using verbal and visual communication means, s/he transfers them to the groups within and outside his/her group in a systematical and effective way. |
|
|
5.5 Evaluates the norms and standards present in the works in which s/he takes responsibility in a critical point of view. |
|
|
5.6 Develops strategical, innovative and entrepreneurial ideas. |
|
|
5.7 Acquires competence of managing the change. |
|
|
5.8 Shows development personally and socially with and awareness for lifelong learning. |
|
|
5.9 Follows advanced technologies and developments about digital transformation. |
|
|
5.10 Has cultural awareness and s/he transfers this to the groups within and outside his/her field. |
|
|
5.11 Has awareness about citizenship competency. |
|
|
|
|
| WORKLOAD OF TEACHING & LEARNING ACTIVITIES |
| Teaching & Learning Activities |
# of Activities per semester |
Duration (hour) |
Total Workload |
| Course |
14 |
3 |
42 |
| Laboratory |
0 |
0 |
0 |
| Application |
0 |
0 |
0 |
| Special Course Internship (Work Placement) |
0 |
0 |
0 |
| Field Work |
0 |
0 |
0 |
| Study Hours Out of Class |
12 |
2 |
24 |
| Presentations / Seminar |
0 |
0 |
0 |
| Project |
0 |
0 |
0 |
| Homework Assignments |
1 |
2 |
2 |
| Total Workload of Teaching & Learning Activities |
- |
- |
68 |
| WORKLOAD OF ASSESMENT & EVALUATION ACTIVITIES |
| Assesment & Evaluation Activities |
# of Activities per semester |
Duration (hour) |
Total Workload |
| Quizzes |
2 |
5 |
10 |
| Midterms |
1 |
12 |
12 |
| Semester Final Exam |
1 |
32 |
32 |
| Total Workload of Assesment & Evaluation Activities |
- |
- |
54 |
| TOTAL WORKLOAD (Teaching & Learning + Assesment & Evaluation Activities) |
122 |
| ECTS CREDITS OF THE COURSE (Total Workload/25.5 h) |
5 |
ECTS Information Package / Course Catalogue