Nevşehir Hacı Bektaş Veli University Course Catalogue
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| Year/Semester of Study | 2 / Fall Semester | ||||
| Level of Course | 1st Cycle Degree Programme | ||||
| Type of Course | Compulsory | ||||
| Department | GEOPHYSICAL ENGINEERING | ||||
| Pre-requisities and Co-requisites | None | ||||
| Mode of Delivery | Face to Face | ||||
| Teaching Period | 14 Weeks | ||||
| Name of Lecturer | ÖZCAN ÇAKIR (ocakir@nevsehir.edu.tr) | ||||
| Name of Lecturer(s) | |||||
| Language of Instruction | Turkish | ||||
| Work Placement(s) | None | ||||
| Objectives of the Course | |||||
| To provide general information the probability and statistics methods used geophysical data analysis and interpretation to students. | |||||
| Learning Outcomes | PO | MME | |
| The students who succeeded in this course: | |||
| LO-1 | Be able to explain the types of data and data relationships of geophysical measurements. |
PO-1 An ability to apply knowledge of basic engineering sciences and earth sciences for the solution of geophysical engineering problems. PO-2 An ability to identify, formulate, and solve geophysical engineering problems and knowledge of contemporary issues. PO-3 An ability to design field experiments, as well as analyze and interpret data. PO-4 An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice. |
Examination |
| LO-2 | Be able to explain measures of central tendency and distributions and explain when and how to use them. |
PO-1 An ability to apply knowledge of basic engineering sciences and earth sciences for the solution of geophysical engineering problems. PO-3 An ability to design field experiments, as well as analyze and interpret data. |
Examination |
| LO-3 | Be able to apply possibility and probability tests measured data. |
PO-1 An ability to apply knowledge of basic engineering sciences and earth sciences for the solution of geophysical engineering problems. PO-3 An ability to design field experiments, as well as analyze and interpret data. |
Examination |
| LO-4 | Be able to evaluate the results of geophysical data and they determination an approach function for estimation procedures. |
PO-1 An ability to apply knowledge of basic engineering sciences and earth sciences for the solution of geophysical engineering problems. PO-2 An ability to identify, formulate, and solve geophysical engineering problems and knowledge of contemporary issues. PO-3 An ability to design field experiments, as well as analyze and interpret data. PO-4 An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice. |
Examination |
| LO-5 | Be able to analyze the data of the noise problems. |
PO-1 An ability to apply knowledge of basic engineering sciences and earth sciences for the solution of geophysical engineering problems. PO-2 An ability to identify, formulate, and solve geophysical engineering problems and knowledge of contemporary issues. PO-3 An ability to design field experiments, as well as analyze and interpret data. PO-4 An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice. |
Examination |
| PO: Programme Outcomes MME:Method of measurement & Evaluation |
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| Course Contents | ||
| Spaces of probability, in depence of events, conditional probability . Sample spaces and events, geometric probability. Random variables, distribution and probablity (density) functions. Expected value, variance and moments, moment generating function, the mode of distribution, the median. Some important probability models: Discrete uniform distribution, Bernoulli distribution, binomual distribution, geometric distribution, Poisson, uniform distribution, exponential distribution, normal distribution. multivariate distribution, indepency, covariance, correlation. Law of large numbers, Central limit theorem. Chi-square fit test, t- test, confidence intervals. Arithmetic average, geometric avarage, harmonic avarage, square root average, sample varience, standart deviation. Coefficient of relationship, histograms, frequency range (polygon), mod, median, class width. Simulation, least square method. | ||
| Weekly Course Content | ||
| Week | Subject | Learning Activities and Teaching Methods |
| 1 | Spaces of probability, ın depence of events, conditional probability | Discussion method |
| 2 | Sample spaces and events, geometric probability | Lecturing |
| 3 | Random Variables, Distribution and Probablity (Density) Functions | Lecturing |
| 4 | Expected value, Variance and moments, moment generating function, the mode of distribution, the median | Lecturing |
| 5 | Some ımportant probability models, discrete uniform distribution, Bernoulli distribution, Binomual distribution, geometric distribution, Poisson distribution | Lecturing |
| 6 | Uniform distribution, exponential distribution, normal distribution | Lecturing |
| 7 | Multivariate distribution, indepency, covariance, correlation | Lecturing |
| 8 | mid-term exam | |
| 9 | Law of large numbers, central limit theorem | Lecturing |
| 10 | Parameter estimation | Problem solving method |
| 11 | Chi-Square Fit Test, T- Test, Confidence Intervals | Problem solving method |
| 12 | Arithmetic average, geometric avarage, harmonic avarage, square root average, sample varience, standart deviation, coefficient of relationship | Problem solving method |
| 13 | Histograms, frequency range (polygon), mod, median, class width | Problem solving method |
| 14 | Simulasyon | Description application |
| 15 | Least square method | Description application |
| 16 | final exam | |
| Recommend Course Book / Supplementary Book/Reading | ||
| 1 | Olasılık ve İstatistik, Fikri Akdeniz, AÜFF Yay. | |
| 2 | Matematiksel İstatistik, Fikri Öztürk, AÜFF Yay. | |
| 3 | Jeofizikte Veri İşlem, Nezihi Canıtez, İTÜ Yay. | |
| 4 | Matematiksel İstatistiğe Giriş, Uğur Korum, AÜSBF Yay. | |
| Required Course instruments and materials | ||
| None | ||
| 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 | 0 | ||
| 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 | 7 | 7 | 49 |
| mid-term exam | 1 | 1 | 1 |
| Own study for final exam | 8 | 7 | 56 |
| final exam | 1 | 1 | 1 |
| 0 | |||
| 0 | |||
| Total work load; | 149 | ||