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📣 Announcements:
Join our Slack channel: https://join.slack.com/t/ece139s25/shared_invite/zt-32uhmawg4-XzmEcXSU0ej1~beNKIn5Hw
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- Instructor: Haewon Jeong
- TAs:
- Youngseok Yoon: Mon 7:00PM- 8:50PM
- Anantajit Subrahmanya: Tue 7:00PM- 8:50PM
- Monsij Biswal: Thu 7:00PM- 8:50PM
- Yu Wu: Fri 8:00AM-9.50AM
- Tian Qiu: Fri 12:00PM- 1:50PM
- Classes: Mon/Wed 11:00 AM - 12:15 PM, Buchanan 1910
- Office hours:
- Tian: Mon 9.00AM-10.00AM (Trailer)
- Haewon: Mon 4.00PM-5.00PM (HFH 3161)
- Anantajit: Tue 11.00AM-12.00PM (Trailer)
- Yu: Wed 9.00AM-10.00AM (Trailer)
- Monsij: Thu 5.30PM-6.30PM (Trailer)
- Youngseok: Fri 10.30AM-11.30AM (Trailer)
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☎️
If you have any questions about the course, please use Slack to communicate!
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Overview
This course introduces fundamental concepts in probability and statistics with an emphasis on engineering applications, particularly in electrical and computer systems. Topics include probability models, random variables, expectation, common distributions, central limit theorem, and random processes. Students will learn how to model uncertainty, analyze data, and apply statistical tools to solve real-world engineering problems. Applications to signal processing, communications, and system reliability will be highlighted throughout
Learning Outcomes
- Apply probabilistic models to analyze and predict the behavior of electrical and computer systems using concepts such as random variables, independence, expectation, and moments.
- Model and analyze systems with multiple random variables by leveraging joint distributions, conditional probability, and the Central Limit Theorem for performance evaluation and signal analysis.
- Understand and characterize random processes relevant to engineering applications, including noise modeling, system response, and communication systems.
Evaluations
- Attendance & Quiz (10%) — Section Attendance + Slack Participation
- Homework (25%) — 4 out 5 best homework scores
- Midterm (30%) — Midterm 1 (10%), Midterm 2 (20%)