Course Schedule Monday: 2:00 pm 4:00 pm B0313 Thursday: 2:00 pm 4:00 pm B0315 Instructor s Name E-mail Office Hours Asst. Prof. Dr. Engin Masazade engin.masazade@yeditepe.edu.tr Office Hours Monday Tuesday Wednesday Thursday Friday 4-6 pm 9-11 am 11-12 am, 4-6 pm 11-12 am New: The class is on Piazza. Find our class page at: https://piazza.com/yeditepe.edu.tr/spring2015/ee254/home Assistant s Name Phone E-mail To be decided. Textbook & Supplementary Materials Textbook: (1) Dimitri Bertsekas and John N. Tsitsiklis, Introduction to Probability, 2nd edition, Athena Scientific, 2008. (2) Steven M. Kay, Intuitive Probability and Random Processes using MATLAB. Supplementary course material: (a) Problem Solutions, book errata: http://athenasc.com/probbook.html (b) MIT Open Course Ware (OCW) - Probabilistic Systems Analysis and Applied Probability Course Material:
http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041- probabilistic-systems-analysis-and-applied-probability-spring-2006/index.htm (c) Lecture Notes: http://vfu.bg/en/e-learning/math-- Bertsekas_Tsitsiklis_Introduction_to_probability.pdf (d) A First Course in Probability, Sheldon Ross, Prentice Hall. Recommended Prerequisites MATH 152 Calculus for Engineers II Course Outline PART 1: Introduction and Notion of Random Variable: Chapter 1.2 1.6 {MIDTERM 1 Sample Space, Conditional Probability, Combinations, Total Probability Theorem, Bayes Rule, Independence, Counting. PART 2: Discrete Random Variables: Chapters 2.1 2.7 Discrete Random Variables: Bernoulli, Binomial, Poisson, Geometric Distributions. MIDTERM1}, {MIDTERM 2 Multiple discrete random variables. PART 3: Continuous Random Variables: Chapters 3.1 3.6 Continuous Random Variables: Uniform, Exponential, Gaussian. Bayesian decision rule MIDTERM2}. Multiple continuous random variables PART 4: Further topics: Chapters 5.1, 5.4 4.1, 4.2 Central Limit Theorem, Covariance and Correlation, Derived distributions, Transforms. FINAL EXAM COVERS EVERYTHING. Midterm I: Thursday, March 26, 2015 1 hour 50 minutes (Closed book, one page double side cheat sheet is allowed) Midterm Dates Midterm II: Monday, April 27, 2015 1 hour 50 minutes (Closed book, one page double side cheat sheet is allowed) Final (To be announced): 2 hour 50 minutes (Closed book, one page double side cheat sheet is allowed)
Grading Midterm I (March 26, 2015 25 % Week 8) Midterm II (April 27, 2015 25 % Week 13) Lab. Work 15 % Final 35 % LAB SESSIONS Attendance Course Objectives Week 1, Feb. 2 Week 2, Feb. 9 Week 3, Feb. 16 Week 4, Feb. 23 Week 5, Feb. 2 Week 6, Mar. 9 Week 7, Mar. 16 Week 8, Mar. 23 Week 9, Mar. 30 Week 10, Apr. 6 Week 11, Apr. 13 Week 12, Apr. 20 Week 13, Apr. 27 Week 14, May 4 Week 15, May 11 Thursday Class - Midterm I Monday Class - Midterm II 80 % (If your class attendance falls below 80%, you FAIL the class (FA) and have NO right to take the Final make-up (Bütünleme) exam.) i. Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied information in these areas to model and solve engineering problems. ii. Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purpose. iii. Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose. (Realistic
Additional Remarks constraints and conditions may include factors such as economic and environmental issues, sustainability, manufacturability, ethics, health, safety issues, and social and political issues, according to the nature of the design.) iv. Ability to devise, select, and use modern techniques and tools needed for engineering practice; ability to employ information technologies effectively. Course Outcomes (Note to instructor: Please list only those outcomes that your course serves) i. Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied information in these areas to model and solve engineering problems. (Matematik, fen bilimleri ve kendi dalları ile ilgili mühendislik konularında yeterli bilgi birikimi; bu alanlardaki kuramsal ve uygulamalı bilgileri mühendislik problemlerini modelleme ve çözme için uygulayabilme becerisi.) ii. Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purpose. (Karmaşık mühendislik problemlerini saptama, tanımlama, formüle etme ve çözme becerisi; bu amaçla uygun analiz ve modelleme yöntemlerini seçme ve uygulama becerisi.) iii. Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose. (Realistic constraints and conditions may include factors such as economic and environmental issues, sustainability, manufacturability, ethics, health, safety issues, and social and political issues, according to the nature of the design.) (Karmaşık bir sistemi, süreci, cihazı veya ürünü gerçekçi kısıtlar ve koşullar altında, belirli gereksinimleri karşılayacak şekilde tasarlama becerisi; bu amaçla modern tasarım yöntemlerini uygulama becerisi. (Gerçekçi kısıtlar ve koşullar tasarımın niteliğine göre, ekonomi, çevre sorunları, sürdürülebilirlik, üretilebilirlik, etik, sağlık, güvenlik, sosyal ve politik sorunlar gibi öğeleri içerirler). iv. Ability to devise, select, and use modern techniques and tools needed for engineering practice; ability to employ information technologies effectively. (Mühendislik uygulamaları için gerekli olan modern teknik ve araçları geliştirme, seçme ve kullanma becerisi; bilişim teknolojilerini etkin bir şekilde kullanma becerisi.) v. Ability to design and conduct experiments, gather data, analyze and interpret results for investigating engineering problems. (Mühendislik problemlerinin incelenmesi için deney tasarlama, deney yapma, veri toplama, sonuçları analiz etme ve yorumlama becerisi.) vi. vii. Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually. (Disiplin içi ve çok disiplinli takımlarda etkin biçimde çalışabilme becerisi; bireysel çalışma becerisi.) Ability to communicate effectively both orally and in writing; knowledge of a minimum of one foreign language.
(Sözlü ve yazılı etkin iletişim kurma becerisi; en az bir yabancı dil bilgisi.) viii. Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself. (Yaşam boyu öğrenmenin gerekliliği bilinci; bilgiye erişebilme, bilim ve teknolojideki gelişmeleri izleme ve kendini sürekli yenileme becerisi.) ix. Awareness of professional and ethical responsibility. (Mesleki ve etik sorumluluk bilinci.) x. Information about business life practices such as project management, risk management, and change management; awareness of entrepreneurship, innovation, and sustainable development. (Proje yönetimi ile risk yönetimi ve değişiklik yönetimi gibi iş hayatındaki uygulamalar hakkında bilgi; girişimcilik, yenilikçilik ve sürdürebilir kalkınma hakkında farkındalık.) xi. Knowledge about contemporary issues and the global and societal effects of engineering practices on health, environment, and safety; awareness of the legal consequences of engineering solutions. (Mühendislik uygulamalarının evrensel ve toplumsal boyutlarda sağlık, çevre ve güvenlik üzerindeki etkileri ile çağın sorunları hakkında bilgi; mühendislik çözümlerinin hukuksal sonuçları konusunda farkındalık.)