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Course Description |
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Course Name |
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Mathematics I |
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Course Code |
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EAS105 |
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Course Type |
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Compulsory |
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Level of Course |
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First Cycle |
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Year of Study |
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1 |
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Course Semester |
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Fall (16 Weeks) |
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ECTS |
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4 |
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Name of Lecturer(s) |
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Assoc.Prof.Dr. ARZU UZUN Asst.Prof.Dr. B.GÜLSÜN NAKIBOĞLU Assoc.Prof.Dr. SELÇUK ÇOLAK |
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Learning Outcomes of the Course |
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Use mathematics for economics and business related problems Uses basic mathematicals models in business applications Collect, use and demonstrate data for business applications Use basic forecasting methods Model some business problems Use some models in giving business decisions
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Mode of Delivery |
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Face-to-Face |
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Prerequisites and Co-Prerequisites |
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None |
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Recommended Optional Programme Components |
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None |
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Aim(s) of Course |
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This course is designed for business students to have the opportunity to understand basic functions of mathematics and mathematical techniques and their use in business applications. |
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Course Contents |
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This course involves the subjects of numerical calculations, basic mathematical applications, functions, approximations, estimations, data and graphical interpretations. |
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Language of Instruction |
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Turkish |
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Work Place |
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Classroom will be announced at the beginning of the term |
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Course Outline /Schedule (Weekly) Planned Learning Activities |
| Week | Subject | Student's Preliminary Work | Learning Activities and Teaching Methods |
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1 |
Basic mathematics |
Reading related topic |
Lecturing, inclass discussion |
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2 |
Basic mathematics |
Reading related topic |
Lecturing, inclass discussion |
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3 |
Numeric relationships and operations |
Reading related topic |
Lecturing, inclass discussion |
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4 |
Numberic relationships and operations |
Reading related topic |
Lecturing, inclass discussion |
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5 |
Business data and data description |
Reading related topic |
Lecturing, inclass discussion |
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6 |
Functions and graphs |
Reading related topic |
Lecturing, inclass discussion |
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7 |
Functions and graphs |
Reading related topic |
Lecturing, inclass discussion |
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8 |
Mid-term exam |
Studying |
Written exam |
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9 |
Linear equations and graphs |
Reading related topic |
Lecturing, inclass discussion |
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10 |
Linear equations and graphs |
Reading related topic |
Lecturing, inclass discussion |
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11 |
Forecasting |
Reading related topic |
Lecturing, inclass discussion |
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12 |
Forecasting |
Reading related topic |
Lecturing, inclass discussion |
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13 |
Forecasting |
Reading related topic |
Lecturing, inclass discussion |
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14 |
Decisions |
Reading related topic |
Lecturing, inclass discussion |
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15 |
Decision making |
Reading related topic |
Lecturing, inclass discussion |
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16/17 |
Final exam |
Studying |
Written exam |
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Required Course Resources |
| Resource Type | Resource Name |
| Recommended Course Material(s) |
Basic College Mathematics, Miller, O´Neill & Hyde, McGraw Hill
Miller, O’Neill & Hyde. Basic College Mathematics. McGraw Hill.
Slater. Practical Business Math Procedures. Irwin-McGraw-Hill Publishers.
Lecture notes, slides and homeworks
Haeussler& Paul. Introductory Mathematical Analysis for Business Economics, and the Life and Social Sciences. Prentice-Hall International, Inc.
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| Required Course Material(s) | |
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Assessment Methods and Assessment Criteria |
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Semester/Year Assessments |
Number |
Contribution Percentage |
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Mid-term Exams (Written, Oral, etc.) |
1 |
100 |
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Homeworks/Projects/Others |
0 |
0 |
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Total |
100 |
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Rate of Semester/Year Assessments to Success |
40 |
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Final Assessments
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100 |
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Rate of Final Assessments to Success
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60 |
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Total |
100 |
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| Contribution of the Course to Key Learning Outcomes |
| # | Key Learning Outcome | Contribution* |
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1 |
Use the basic enterprise resource planning (ERP) softwares |
1 |
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2 |
List and define the concepts of business management, and explain their relations to each other |
1 |
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3 |
List and define the fundamental conceptual models, numerical and statistical techniques of business administartion and identify their advantages and disadvantages. |
4 |
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4 |
List and define the relationship between the basic concepts of economy and business management ; indicate the strong and weak sides of each method. |
1 |
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5 |
Explain how to create the fundamental conceptual models and how to apply numerical and statistical techniques that are used in business administration. |
5 |
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6 |
Explain how to interpret the results gathered through the application and/or implementation of conceptual models and/or numerical and statistical methods of business management. |
5 |
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7 |
Determine appropriate methods to solve business problems |
1 |
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8 |
Evaluate the results that are obtained from applications of business management methods |
1 |
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9 |
Use the basic numerical and statistical softwares |
5 |
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10 |
Follow latest developments in the field, and sustain personal and professional development with the awareness of the necessity of life long learning |
2 |
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11 |
Use different resources in accordance with academic principles, synthesize the data gathered, and present them effectively in an unfamiliar field. |
2 |
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12 |
Use Turkish and at least one foreign language in accordance with the requirements in academic and business context |
4 |
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13 |
Perceive and interpret the feelings, ideas and behaviours of people appropriately, and express himself/herself accurately in written or oral format |
1 |
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14 |
Question traditional approaches, methods and implementations; develop and implement alternative methods when required |
1 |
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15 |
Recognize and apply social, scientific and professional ethical values. |
2 |
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16 |
Determine the most appropriate approaches, implementations and methods of business management considering sectors, their sizes, resources, cultures, goals and objectives |
2 |
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17 |
Monitor external factors such as industrial structures, competition, technologies, economics, politics, cultures that affects the activities of businesses and interpret their impact on businesses |
1 |
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18 |
Take initiative individually or/and as a member of a team, lead and work effectively |
2 |
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19 |
As well as professional development, improve him-/herself continuously in scientific, social, cultural and artistic fields according to his/her interests and abilities, identifying needs of learning. |
2 |
| * Contribution levels are between 0 (not) and 5 (maximum). |
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| Student Workload - ECTS |
| Works | Number | Time (Hour) | Total Workload (Hour) |
| Course Related Works |
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Class Time (Exam weeks are excluded) |
14 |
3 |
42 |
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Out of Class Study (Preliminary Work, Practice) |
14 |
2 |
28 |
| Assesment Related Works |
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Homeworks, Projects, Others |
0 |
0 |
0 |
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Mid-term Exams (Written, Oral, etc.) |
1 |
10 |
10 |
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Final Exam |
1 |
15 |
15 |
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Total Workload: | 95 |
| Total Workload / 25 (h): | 3.8 |
| ECTS Credit: | 4 |
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