Tuition Fee
Not Available
Start Date
Not Available
Medium of studying
Fully Online
Duration
102 hours
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Details
Program Details
Degree
Courses
Major
Electrical Engineering | Computer Science | Data Analysis
Area of study
Information and Communication Technologies | Engineering
Education type
Fully Online
Timing
Part time
Course Language
English
About Program
Program Overview
Program Overview
The Semiconductor Process and Data Analysis Class, 20th edition, is a comprehensive program designed to provide students with a thorough understanding of the semiconductor industry and data analysis techniques.
Course Details
- Course duration: 102 hours
- Teaching method: Remote instruction
- Suitable for:
- Individuals without a programming background or industry knowledge but interested in the semiconductor field
- Those looking to transition into the semiconductor industry and seeking direction
- Currently employed or unemployed individuals under the age of 55
Course Schedule
- Course period: April 22, 2026 (Wednesday) to July 4, 2026 (Saturday)
- Registration deadline: April 16, 2026 (Thursday), 23:59
Course Content
| Course Name | Course Content | Hours |
|---|---|---|
| IC Manufacturing Technology | 1. Integrated circuit manufacturing and semiconductor components <br> 2. Wafer manufacturing and epitaxy <br> 3. Epitaxy, oxidation, photolithography, ion implantation, and chemical vapor deposition (CVD) <br> 4. Etching technology, chemical and gas transportation, metalization, and CVD | 72 |
| Semiconductor Physics and Components (I) | 1. Quantum phenomena and energy band theory <br> 2. PN junction diodes <br> 3. MOSFET non-ideal effects | 6 |
| Python Data Analysis | 1. Introduction to Python <br> 2. Data structures and conditional statements <br> 3. Loops <br> 4. Iterable objects <br> 5. Introduction to Pandas library and data analysis | 24 |
Class Schedule
- Every Monday and Wednesday, 18:30-21:30
- Every Saturday, 9:00-12:00
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