TÜRKÇE
ENGLISH
Information
| Unit | FACULTY OF ENGINEERING |
| COMPUTER ENGINEERING PR. (ENGLISH) | |
| Code | CEN220 |
| Name | Probability and Statistics |
| Term | 2020-2021 Academic Year |
| Semester | 4. Semester |
| Duration (T+A) | 3-1 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 3.5 National Credit |
| Teaching Language | İngilizce |
| Level | Lisans Dersi |
| Type | Normal |
| Label | C Compulsory |
| Mode of study | Uzaktan Öğretim |
| Catalog Information Coordinator | Prof. Dr. MEHMET FATİH AKAY |
| Course Instructor |
Prof. Dr. MEHMET FATİH AKAY
(Bahar)
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
Introduce the student with probability concepts and their relation to the events.
Course Content
Random Variables and Processes for Computer Engineering, Probability, conditional probability, Bernoulli trials, the concept of a random variable, distribution and density functions, specific random variables, conditional distributions, functions of one random variable, mean and variance, functions of two random variables, conditional expected values, stochastic processes, systems with stochastic inputs, the power spectrum, discrete-time processes, poisson process.
Course Precondition
Yok
Resources
Notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Learn probability and conditional probability. |
| LO02 | Learn Bernoulli trials. |
| LO03 | Learn random variables and types of random variables. |
| LO04 | Learn expected value and variance |
| LO05 | Learn random functions. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | - | Has capability in the fields of mathematics, science and computer that form the foundations of engineering | 2 |
| PLO02 | - | Identifies, formulates, and solves engineering problems, selects and applies appropriate analytical methods and modeling techniques, | 5 |
| PLO03 | - | Analyzes a system, its component, or process and designs under realistic constraints to meet the desired requirements,gains the ability to apply the methods of modern design accordingly. | 4 |
| PLO04 | - | Ability to use modern techniques and tools necessary for engineering practice and information technologies effectively. | 1 |
| PLO05 | - | Ability to design and to conduct experiments, to collect data, to analyze and to interpret results | 0 |
| PLO06 | - | Has ability to work effectively as an individual and in multi-disciplinary teams, take sresponsibility and builds self-confidence | 0 |
| PLO07 | - | Can access information,gains the ability to do resource research and uses information resources | 0 |
| PLO08 | - | Awareness of the requirement of lifelong learning, to follow developments in science and technology and continuous self-renewal ability | 1 |
| PLO09 | - | Ability to communicate effectively orally and in writing, and to read and understand technical publications in at least one foreign language | 2 |
| PLO10 | - | Professional and ethical responsibility, | 0 |
| PLO11 | - | Awareness about project management, workplace practices, employee health, environmental and occupational safety, and the legal implications of engineering applications, | 0 |
| PLO12 | - | Becomes aware of universal and social effects of engineering solutions and applications, entrepreneurship and innovation, and knowledge of contemporary issues | 0 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Introduction to probability | Chapter 1 | |
| 2 | Set theory and conditional probability | Chapter 1 | |
| 3 | Bernoulli trials | Chapter 1 | |
| 4 | Random variables | Chapter 2 | |
| 5 | Cumulative distribution function | Chapter 2 | |
| 6 | Probability density function | Chapter 2 | |
| 7 | Specific random variables | Chapter 2 | |
| 8 | Mid-Term Exam | ||
| 9 | Discrete random variables | Chapter 3 | |
| 10 | Conditional distributions | Chapter 3 | |
| 11 | Asymptotic approximations | Chapter 3 | |
| 12 | Functions of one random variable | Chapter 4 | |
| 13 | Expected value | Chapter 4 | |
| 14 | Functions of two random variables | Chapter 4 | |
| 15 | Sample of Problems | Chapter 4 | |
| 16 | Term Exams | ||
| 17 | Term Exams |
Assessment (Exam) Methods and Criteria
| Assessment Type | Midterm / Year Impact | End of Term / End of Year Impact |
|---|---|---|
| 1. Midterm Exam | 100 | 40 |
| General Assessment | ||
| Midterm / Year Total | 100 | 40 |
| 1. Final Exam | - | 60 |
| Grand Total | - | 100 |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 4 | 56 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 4 | 56 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 1 | 1 | 1 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 12 | 12 |
| Final Exam | 1 | 28 | 28 |
| Total Workload (Hour) | 153 | ||
| Total Workload / 25 (h) | 6,12 | ||
| ECTS | 6 ECTS | ||