Nevşehir Hacı Bektaş Veli University Course Catalogue
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| Year/Semester of Study | 3 / Fall Semester | ||||
| Level of Course | 1st Cycle Degree Programme | ||||
| Type of Course | Compulsory | ||||
| Department | DEPARTMENT OF COMPUTER ENGINEERING | ||||
| Pre-requisities and Co-requisites | None | ||||
| Mode of Delivery | Face to Face | ||||
| Teaching Period | 14 Weeks | ||||
| Name of Lecturer | AYLİN ALKAYA (aylin@nevsehir.edu.tr) | ||||
| Name of Lecturer(s) | SEMA ATASEVER, | ||||
| Language of Instruction | Turkish | ||||
| Work Placement(s) | None | ||||
| Objectives of the Course | |||||
| Introduce students to probability theory and mathematical statistics at a basic level. Establish the general application of probabilistic and statistical analysis methods in engineering areas. | |||||
| Learning Outcomes | PO | MME | |
| The students who succeeded in this course: | |||
| LO-1 | Ability to perform combinatorial counting (permutations, combinations, etc.) at a basic level and use it engineering applications. |
PO-4 Students gain the ability to apply knowledge of mathematics, science and engineering. PO-5 Students gain the ability to define, model, formulate and solve general engineering problems. PO-15 Students will be able to design a system or process to meet the desired needs. PO-19 Students develop self-renewal and researcher skills in order to adapt to innovations and developing technology. |
Examination |
| LO-2 | Ability to perform combinatorial counting (permutations, combinations, etc.) at a basic level and use it engineering applications. |
PO-4 Students gain the ability to apply knowledge of mathematics, science and engineering. PO-5 Students gain the ability to define, model, formulate and solve general engineering problems. PO-15 Students will be able to design a system or process to meet the desired needs. PO-19 Students develop self-renewal and researcher skills in order to adapt to innovations and developing technology. |
Examination |
| LO-3 | Ability to analyze and obtain inferences from the joint behavior of random variables based on such concepts as joint distribution, marginal distribution, and conditional distribution. |
PO-4 Students gain the ability to apply knowledge of mathematics, science and engineering. PO-5 Students gain the ability to define, model, formulate and solve general engineering problems. PO-15 Students will be able to design a system or process to meet the desired needs. PO-19 Students develop self-renewal and researcher skills in order to adapt to innovations and developing technology. |
Examination |
| LO-4 | Knowledge of the mathematical form of the discrete and continuous distributions most commonly used in engineering, and what type of applications they are suitable for. |
PO-4 Students gain the ability to apply knowledge of mathematics, science and engineering. PO-5 Students gain the ability to define, model, formulate and solve general engineering problems. PO-15 Students will be able to design a system or process to meet the desired needs. PO-19 Students develop self-renewal and researcher skills in order to adapt to innovations and developing technology. |
Examination |
| LO-5 | Ability to perform theoretical calculations of expected value, variance, covariance, etc. in order to use in statistical applications. |
PO-4 Students gain the ability to apply knowledge of mathematics, science and engineering. PO-5 Students gain the ability to define, model, formulate and solve general engineering problems. PO-15 Students will be able to design a system or process to meet the desired needs. PO-19 Students develop self-renewal and researcher skills in order to adapt to innovations and developing technology. |
Examination |
| PO: Programme Outcomes MME:Method of measurement & Evaluation |
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| Course Contents | ||
| Axiomatic definition of probability; probability spaces; random variables and vectors; probability distributions; continuous/discrete/joint distributions, distribution functions, density functions, standard distributions; mean value, variance and high-order moments; independence and conditional probability; common, marginal and conditional distributions, covariance and correlation; | ||
| Weekly Course Content | ||
| Week | Subject | Learning Activities and Teaching Methods |
| 1 | Basic terms. Definition of statistics. Definition of statistics, The place of statistics in engineering | Explaining, Question-answer, Problem Solving, Practice |
| 2 | Organizing Data. Frequency distributions. Graphics | Explaining, Question-answer, Problem Solving, Practice |
| 3 | Central Tendency Measures | Explaining, Question-answer, Problem Solving, Practice |
| 4 | Distribution Measures | Explaining, Question-answer, Problem Solving, Practice |
| 5 | Probability | Explaining, Question-answer, Problem Solving, Practice |
| 6 | Random variables | Explaining, Question-answer, Problem Solving, Practice |
| 7 | Discrete Distributions: | Explaining, Question-answer, Problem Solving, Practice |
| 8 | mid-term exam | |
| 9 | Continuous Distributions: | Explaining, Question-answer, Problem Solving, Practice |
| 10 | Confidince intervals | Explaining, Question-answer, Problem Solving, Practice |
| 11 | Hypothesis Testing | Explaining, Question-answer, Problem Solving, Practice |
| 12 | Analysis of Varianc | Explaining, Question-answer, Problem Solving, Practice |
| 13 | Chi-square Analysis | Explaining, Question-answer, Problem Solving, Practice |
| 14 | Covariance and correlation analysis | Explaining, Question-answer, Problem Solving, Practice |
| 15 | Regression Analysis | Explaining, Question-answer, Problem Solving, Practice |
| 16 | final exam | |
| Recommend Course Book / Supplementary Book/Reading | ||
| 1 | “Probability and Statistics for Engineers and Scientists”, Walpole R. E., Myers R. H., Myers S. L., and Ye K, 9th Edition, International Edition, Pearson, 2013. | |
| Required Course instruments and materials | ||
| “Probability and Statistics for Engineers and Scientists”, Walpole R. E., Myers R. H., Myers S. L., and Ye K, 9th Edition, International Edition, Pearson, 2013. | ||
| Assessment Methods | |||
| Type of Assessment | Week | Hours | Weight(%) |
| mid-term exam | 8 | 1 | 40 |
| Other assessment methods | |||
| 1.Oral Examination | |||
| 2.Quiz | |||
| 3.Laboratory exam | |||
| 4.Presentation | |||
| 5.Report | |||
| 6.Workshop | |||
| 7.Performance Project | |||
| 8.Term Paper | |||
| 9.Project | |||
| final exam | 16 | 1 | 60 |
| Student Work Load | |||
| Type of Work | Weekly Hours | Number of Weeks | Work Load |
| Weekly Course Hours (Theoretical+Practice) | 3 | 14 | 42 |
| Outside Class | |||
| a) Reading | 13 | 4 | 52 |
| b) Search in internet/Library | 0 | ||
| c) Performance Project | 0 | ||
| d) Prepare a workshop/Presentation/Report | 0 | ||
| e) Term paper/Project | 0 | ||
| Oral Examination | 0 | ||
| Quiz | 0 | ||
| Laboratory exam | 0 | ||
| Own study for mid-term exam | 12 | 1 | 12 |
| mid-term exam | 1 | 1 | 1 |
| Own study for final exam | 12 | 1 | 12 |
| final exam | 1 | 1 | 1 |
| 0 | |||
| 0 | |||
| Total work load; | 120 | ||