CSCI124

ACCELERATED INTRO TO COMPUTING

Clark Core FYI First-Year IntensiveSP Scientific Perspective
This course is offered in a current or upcoming term. Check the official course schedule before registering.
Also listed under 6 other titles
  • LAB:ACCL INTRO TO COMPUTING
  • HONORS INTRO TO COMPUTING
  • LAB: HONORS INTRO TO COMPUTING
  • Honors Introduction to Computing
  • LAB: HONORS INTRO COMPUTING
  • LAB: HONORS INTRO TO COMP
Department
Computer Science
Terms offered
9
Data refreshed
Jun 30, 2026

Description

This accelerated course provides a comprehensive introduction to computing and its diverse applications, equipping students with the fundamental principles and problem-solving techniques necessary to tackle real-world challenges. Student will learn programming in Python, grasping a systematic approach to problem formulation, algorithm design, code development and testing. This course includes a project component where students will demonstrate their newly acquired skills through the design and implementation of a project of their choice. Success in the course requires strong analytical skills and a dedicated work ethic. Prior programming experience is not necessary but may be helpful.

Syllabi

Sign in with your @clarku.edu email to view syllabi.

Offering history & forecast 2016–2026

2008
2026
Sections offered by academic year and season, with estimated offering chances for future years above the divider
YearFallSpringSummerIntersession
2030 2030 Fall: 51% chance, medium confidence. Offered in 5 of 9 fall terms since 2018. Department course count rising about 16% per year. 2030 Spring: 7% chance, medium confidence. Offered in 0 of 9 spring terms since 2018. 2030 Summer: 7% chance, medium confidence. Offered in 0 of 9 summer terms since 2018. 2030 Intersession: 8% chance, medium confidence. Offered in 0 of 6 intersession terms since 2020.
2029 2029 Fall: 55% chance, medium confidence. Offered in 6 of 10 fall terms since 2017. Department course count rising about 14% per year. 2029 Spring: 6% chance, medium confidence. Offered in 0 of 10 spring terms since 2017. 2029 Summer: 6% chance, medium confidence. Offered in 0 of 10 summer terms since 2017. 2029 Intersession: 7% chance, medium confidence. Offered in 0 of 7 intersession terms since 2017.
2028 2028 Fall: 56% chance, medium confidence. Offered in 6 of 11 fall terms since 2016. Department course count rising about 14% per year. 2028 Spring: 5% chance, medium confidence. Offered in 0 of 11 spring terms since 2016. 2028 Summer: 5% chance, medium confidence. Offered in 0 of 11 summer terms since 2016. 2028 Intersession: 7% chance, medium confidence. Offered in 0 of 7 intersession terms since 2017.
2027 2027 Fall: 57% chance, medium confidence. Offered in 6 of 12 fall terms since 2015. Department course count rising about 13% per year. 2027 Spring: 5% chance, high confidence. Offered in 0 of 12 spring terms since 2015. 2027 Summer: 5% chance, high confidence. Offered in 0 of 12 summer terms since 2015. 2027 Intersession: 6% chance, medium confidence. Offered in 0 of 7 intersession terms since 2017.
2026 1 section Not offered Not offered No data for this term
2025 1 section Not offered Not offered Not offered
2024 1 section Not offered Not offered Not offered
2023 1 section Not offered Not offered Not offered
2022 Not offered Not offered Not offered Not offered
2021 Not offered Not offered Not offered Not offered
2020 Not offered Not offered Not offered Not offered
2019 1 section Not offered Not offered No data for this term
2018 Not offered Not offered Not offered No data for this term
2017 1 section Not offered Not offered Not offered
2016 Not offered Not offered Not offered No data for this term
Forecast Under 15% 15–39% 40–69% 70–89% 90%+ Not enough history
Fall Spring Summer Intersession Darker means more sections Not offered No data for term

Future estimates combine recent offering frequency with detected multi-year cycles. Hover a cell for confidence and evidence; low-confidence estimates are marked with ~.

Meeting times

Most recent first
  • Mon, 1:25 PM–2:40 PM MACD310 2026-3
  • Tue, Fri, 1:25 PM–2:40 PM MACD002 2026-1
  • Wed, 1:30 PM–2:20 PM MACD002 2026-2
  • Wed, 1:30 PM–2:20 PM MACD310 2025-32024-12023-1
  • Mon, Thu, 1:25 PM–2:40 PM MACD117 2025-1
  • Thu, 2:50 PM–4:05 PM MACD117 2025-22025-4
  • Wed, 10:25 AM–11:40 AM MACD117 2024-2
  • Fri, 12:00 PM–1:15 PM MACD117 2023-2
Credit-bearing sections of CSCI124
TermProfessorTypeCreditsEnrollmentCRN
Fall 2026Shuo Niu (He/Him)Lecture1 1 of 18 enrolled22412
Fall 2025Shuo Niu (He/Him)Lecture1 19 of 50 enrolled22412
Fall 2024Olufemi O. OdegbileLecture1 36 of 50 enrolled22412
Fall 2023John J. Magee IVLecture1 27 of 44 enrolled22412
Fall 2019Kenneth J. BasyeLecture1 23 of 24 enrolled27290
Fall 2017Li HanLecture1 20 of 16 enrolled25982
Fall 2010Frederic GreenLecture1 10 of 15 enrolled27129
Fall 2009Frederic GreenLecture1 8 of 15 enrolled25354
Fall 2008Frederic GreenLecture1 8 of 15 enrolled25354

No-credit sessions

No-credit sections of CSCI124
TermProfessorTypeCreditsEnrollmentCRN
Fall 2026Shuo Niu (He/Him)Lab- 1 of 18 enrolled22413
Fall 2025Shuo Niu (He/Him)Lab- 12 of 18 enrolled22413
Fall 2025Shuo Niu (He/Him)Lab- 7 of 32 enrolled22414
Fall 2024Olufemi O. OdegbileLab- 18 of 32 enrolled22414
Fall 2024Olufemi O. OdegbileLab- 18 of 18 enrolled22413
Fall 2023John J. Magee IVLab- 8 of 26 enrolled22414
Fall 2023John J. Magee IVLab- 19 of 18 enrolled22413
Fall 2010Frederic GreenLab- 9 of 15 enrolled27130
Fall 2009Frederic GreenLab- 8 of 15 enrolled25355
Fall 2008Frederic GreenLab- 8 of 15 enrolled25355