College Timetable
College Timetable
Semester: Spring 2060
Week: 1-16
Duration: January 10, 2060 - May 10, 2060
Student Information:
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Name: [YOUR NAME]
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Student ID: 12345678
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Major: Computer Science
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Advisor: Dr. Emily Williams
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Credits: 15 credits
Weekly Schedule (Monday to Friday):
Time |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
---|---|---|---|---|---|
08:00 AM |
Introduction to Programming |
Linear Algebra |
Introduction to Programming |
Linear Algebra |
Ethics in Technology |
09:30 AM |
Introduction to Programming |
Introduction to Programming |
Ethics in Technology |
||
11:00 AM |
Data Structures & Algorithms |
Data Structures & Algorithms |
Data Structures & Algorithms |
||
12:30 PM |
Lunch Break |
Lunch Break |
Lunch Break |
Lunch Break |
Lunch Break |
01:30 PM |
History of Computing |
Computer Networks |
History of Computing |
Computer Networks |
|
03:00 PM |
History of Computing |
Computer Networks |
History of Computing |
Computer Networks |
|
04:30 PM |
Course Information:
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Introduction to Programming (CS101)
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Instructor: Prof. Jane Smith
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Credits: 3
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Location: Room 301, Science Building
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Description: An introduction to programming fundamentals using Python. Topics include variables, control flow, functions, and basic algorithms.
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Linear Algebra (MATH204)
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Instructor: Dr. Alan Greene
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Credits: 3
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Location: Room 202, Mathematics Building
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Description: Fundamental concepts of linear algebra, including matrices, vectors, determinants, and their applications in computer science.
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Data Structures & Algorithms (CS202)
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Instructor: Dr. Sarah Lee
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Credits: 3
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Location: Room 306, Science Building
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Description: In-depth study of data structures such as arrays, linked lists, stacks, queues, and algorithms for sorting and searching.
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Computer Networks (CS303)
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Instructor: Dr. Henry Ford
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Credits: 3
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Location: Room 401, Technology Building
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Description: Introduction to the concepts of computer networking, covering topics like TCP/IP, protocols, LAN/WAN, and network security.
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History of Computing (HIST210)
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Instructor: Dr. Lisa Bennett
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Credits: 2
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Location: Room 105, Humanities Building
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Description: Exploration of the history and development of computing, from early machines to modern technology and its societal impact.
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Ethics in Technology (PHIL315)
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Instructor: Prof. Adam Clarke
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Credits: 1
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Location: Room 204, Philosophy Building
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Description: Examination of ethical issues in technology, including privacy, intellectual property, and the moral implications of artificial intelligence.
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Notes:
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Classes run for 16 weeks. Exams will be held during the last week of the semester.
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Labs for Data Structures & Algorithms and Computer Networks are conducted on alternate Fridays. Lab schedules will be provided separately.
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Make sure to consult your advisor, Dr. Emily Williams, for academic progress checks before Week 8.