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| Course Description |
|
| Course Name |
: |
Fundamental Statistic |
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| Course Code |
: |
P 339 |
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| Course Type |
: |
Optional |
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| Level of Course |
: |
First Cycle |
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| Year of Study |
: |
3 |
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| Course Semester |
: |
Fall (16 Weeks) |
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| ECTS |
: |
3 |
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| Name of Lecturer(s) |
: |
Assoc.Prof.Dr. DENİZ ÜNAL
|
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| Learning Outcomes of the Course |
: |
Understanding of the scope of statistics and its concept
Data analysis and evaluation
Interpretation of the statistical results
Demonstrating the results using graphical display
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|
| Mode of Delivery |
: |
Face-to-Face |
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| Prerequisites and Co-Prerequisites |
: |
None |
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| Recommended Optional Programme Components |
: |
None |
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| Aim(s) of Course |
: |
To develop the ability to understand, solve and interprete the statistical problems |
|
| Course Contents |
: |
Understanding the data distrubution, interpretation and graphical display methods and approaches. |
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| Language of Instruction |
: |
Turkish |
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| Work Place |
: |
Classroom |
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Course Outline /Schedule (Weekly) Planned Learning Activities |
| Week | Subject | Student's Preliminary Work | Learning Activities and Teaching Methods |
|
1 |
What is statistics, mass, sampling, etc.. Basic concepts, how the sample selected? |
None |
Lectures and problem-solving |
|
2 |
Introduction to Data Analysis,
The steps for the preparation of the frequency distribution table. |
Literature reading |
Lectures and problem-solving |
|
3 |
preparation of the frequency distribution table, then interpreting |
Literature reading |
Lectures and problem-solving |
|
4 |
histogram,
Frequency polygon,
Measures of central tendency
(arithmetic mean, median, mode, geometric mean, harmonic mean) |
Literature reading |
Lectures and problem-solving |
|
5 |
Measures of central tendency, measures of central tendency of classified observations, |
Literature reading |
Lectures and problem-solving |
|
6 |
Comparison of measures of central tendency. Variance, Standard Deviation, Variance and standard deviation of the classified observations. |
Literature reading |
Lectures and problem-solving |
|
7 |
Measures of Dispersion, Dal leaf display, Box drawing, coefficient of variation, Quarters |
Literature reading |
Lectures and problem-solving |
|
8 |
Mid-term exam |
Reading lecture notes and handouts, preparation of exam |
written exam |
|
9 |
Random variables and probability distributions: the concept of random variables. The expected value of the variance. |
Literature reading |
Lectures and problem-solving |
|
10 |
The probability distribution of a discrete random variable. Some of the discrete probability distributions (Bernoulli, binomial) |
Literature reading |
Lectures and problem-solving |
|
11 |
The probability distribution of a discrete random variable. Some of the more discrete probability distributions (poisson, uniform) |
Literature reading |
Lectures and problem-solving |
|
12 |
Introduction to continuous distributions. Probability density function of the normal distribution |
Literature reading |
Lectures and problem-solving |
|
13 |
Properties of the normal distribution, the mean and standard deviation calculation |
Literature reading |
Lectures and problem-solving |
|
14 |
Problem solving using standard normal distribution and, hypothesis testing |
Literature reading |
Lectures and problem-solving |
|
15 |
Practical applications of standard normal distribution, hypothesis testing |
Literature reading |
Lectures and problem-solving |
|
16/17 |
Final exam |
Reading lecture notes and handouts, preparation of exam |
written exam |
|
|
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Required Course Resources |
| Resource Type | Resource Name |
| Recommended Course Material(s) |
|
| |
| Required Course Material(s) | |
|
|
|
Assessment Methods and Assessment Criteria |
|
Semester/Year Assessments |
Number |
Contribution Percentage |
|
Mid-term Exams (Written, Oral, etc.) |
1 |
100 |
|
Homeworks/Projects/Others |
0 |
0 |
|
Total |
100 |
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Rate of Semester/Year Assessments to Success |
40 |
| |
|
Final Assessments
|
100 |
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Rate of Final Assessments to Success
|
60 |
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Total |
100 |
|
|
| Contribution of the Course to Key Learning Outcomes |
| # | Key Learning Outcome | Contribution* |
|
1 |
• Acquiring and perceiving the required information regarding the fundamental principles, processes and tools of Landscape Architecture. Perceiving the landscape as the original or artificial elements of natural system and these resources in a sustainable planning approach while meeting human needs. Acquiring the knowledge and competency of reflecting the philosophy, item, principles and tools of Landscape Design in detailed landscape design process. |
1 |
|
2 |
• Acquring the knowledge regarding nature, natural processes, characteristics and performances of some organic items, by receiving this knowledge getting the ability to reflect these in landscapes design, protection, treatment and management studies. Acquring knowledge in the field of landscape desing, landscape treatment, landscape protection and the development of landscapes by comprehending the knowledge for details of the plant material which is the one of fundamental elements of landscape architecture in a systematic classification. |
0 |
|
3 |
• Acquring information about landscape work in humanities and social fields related to research philosophy and techniques. |
0 |
|
4 |
• Analysing a system, one of system components or process and ability to desing the requested requirements under limited circumstances; accordingly the ability to implement modern design methods. |
0 |
|
5 |
• Ability to select and use the modern techniques and tools necessary for engineering practice; the ability to use information technologies effectively, gathering data, analyse and interpellation |
0 |
|
6 |
• Gaining the ability to evaluate and resolve several landscape items through research and critical interpretation of alternative considerations. |
0 |
|
7 |
• Gaining the visual, verbal and written ability to improve and explain the ideas of Landscape Architecture by utilizing the contemporary communication methods. |
0 |
|
8 |
• Competence to work independently and taking on responsibility: Ability to work effectively as an individual and multi-disciplinary teams, confidence to take responsibility |
0 |
|
9 |
• Understanding the required physical biological indicators for the identification and classification of landscapes, having the ability to use them. Acquiring the competence in offering the desing and plan alternatives. |
0 |
|
10 |
• Defining the financial and legal fundamental terms and principle |
5 |
|
11 |
• Having the infrastructure capacity regarding the fundamental principles, process and tools of Landscape Architecture; utilize the theoretical and practical knowledge in this field in conjunction with the professional field solutions. |
0 |
|
12 |
• Perceiving the landscape as the original or artificial elements of natural system and utilizing these resources in a sustainable planning approach while meeting human needs. |
0 |
|
13 |
• Reflecting the philosophy, item, principles and tools of Landscape Design in detailed landscape design process, using knowledge and competence as well. Gaining essential basis to be capable to reflect knowledge into the areas regarding nature, natural processes, characteristics and performances of some organic items in landscapes design, protection, maintenance and management studies. |
0 |
|
14 |
• Utilizing the accumulation of knowledge in the field of landscape desing, landscape treatment, landscape protection and the development of landscape comprehending the knowledge within systematic classification regarding plant materail which is one of the fundamental elements of landscape architecture. |
0 |
|
15 |
• The ability of detecting, defining, formulating and resolving the engineering problems; the selection and application of appropriate analytical methods and modeling techniques. Know and comprehend of the functions of landscape ecology and principles and practics of ecological planning/ desingning and in landscape architecture implements. |
4 |
|
16 |
• Utilizing the information related to research philosophy and techniques gained in humanities and social fields regarding landscape work. |
0 |
|
17 |
• Know and comprehend the functions of landscape ecology and principles and practics of ecological planning/ desingning and in landscape architecture implementations. |
0 |
|
18 |
Ability to access information and resources to do research and use databases and other information resources and lifelong learning with the awareness of the need to follow developments in science and technology and continuous self-renewal ability. |
2 |
|
19 |
Ability to communicate effectively in written and spoken Turkish and know at least one foreign language. |
0 |
|
20 |
Project management with professional and ethical responsibility, workplace practices, employee health services, awareness of business environment and job security, legal implications of engineering applications and practices of engineering solutions in the global and societal context, the effects of entrepreneurship and innovation, and inform about the issues and problems of today. |
0 |
| * 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 |
|
Class Time (Exam weeks are excluded) |
13 |
2 |
26 |
|
Out of Class Study (Preliminary Work, Practice) |
13 |
2 |
26 |
| Assesment Related Works |
|
Homeworks, Projects, Others |
0 |
0 |
0 |
|
Mid-term Exams (Written, Oral, etc.) |
1 |
10 |
10 |
|
Final Exam |
1 |
15 |
15 |
|
Total Workload: | 77 |
| Total Workload / 25 (h): | 3.08 |
| ECTS Credit: | 3 |
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