BAN104

AI ENABLED MGMT INFO SYSTEMS

Offered in a current or upcoming term. Official schedule
Other titles (2)
  • INTRO TO MGMT INFO SYSTEMS
  • DISC: INTRO TO MGMT INFO SYS
Terms offered
12
Data refreshed
Jun 30, 2026

Description

Information Systems are vital to business, and tomorrow's business leaders are expected to have the skills, knowledge, and capabilities to work effectively in business environments that integrate people, business processes, data, artificial intelligence (AI), and information technology. BAN 104 is an introductory one-unit course to AI-enabled Management Information Systems, a core business function. This course introduces the various facets of information systems in business. In particular, emphasis is placed on the integration and alignment between information systems, AI technologies, and other functional areas such as accounting, supply chain, marketing, and finance. The following major topics will be discussed during the course: introduction to IT (hardware, software, and networking); database management; data analytics and AI-enabled decision making; gaining competitive advantage with IT; the World Wide Web and the Internet; IT supply chain; Enterprise Resource Planning (ERP); Customer Relationship Management (CRM); Social Media; e-commerce strategies for the new economy; information systems development (phases, tools, and techniques); protecting people and information (threats and safeguards); emerging technologies such as artificial intelligence, cloud computing, and big data; and decision analysis. Additionally, students will have opportunities to practice the information systems concepts they learn during the lecture periods using various computer tools such as Microsoft Excel, Access, and selected AI-assisted tools, as well as other web-authoring software. *This course was previously named Intro to MIS (Management Information Systems)

Syllabi

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Offerings and forecast 2021–2026

2021
2026
Sections by year and season
YearFallSpringSummerIntersession
2030 2030 Fall: 64% chance, medium confidence. Offered in every fall term since 2021. Department course count rising about 10% per year. 2030 Spring: 50% chance, low confidence. Offered in every spring term since 2022. Department faculty is about 22% below its recent average. 2030 Summer: 20% chance, low confidence. Offered in 1 of 3 summer terms since 2024. 2030 Intersession: 8% chance, medium confidence. Offered in 0 of 6 intersession terms since 2020.
2029 2029 Fall: 68% chance, medium confidence. Offered in every fall term since 2021. Department course count rising about 8% per year. 2029 Spring: 59% chance, low confidence. Offered in every spring term since 2022. Department course count rising about 5% per year. Department faculty is about 19% below its recent average. 2029 Summer: 14% chance, low confidence. Offered in 1 of 3 summer terms since 2024. Department course count falling about 17% per year. 2029 Intersession: 7% chance, medium confidence. Offered in 0 of 7 intersession terms since 2017.
2028 2028 Fall: 71% chance, medium confidence. Offered in every fall term since 2021. Department course count rising about 7% per year. 2028 Spring: 63% chance, low confidence. Offered in every spring term since 2022. Department course count rising about 5% per year. Department faculty is about 19% below its recent average. 2028 Summer: 15% chance, low confidence. Offered in 1 of 3 summer terms since 2024. Department course count falling about 11% per year. 2028 Intersession: 7% chance, medium confidence. Offered in 0 of 7 intersession terms since 2017.
2027 2027 Fall: 75% chance, medium confidence. Offered in every fall term since 2021. Department course count rising about 7% per year. 2027 Spring: 66% chance, low confidence. Offered in every spring term since 2022. Department course count rising about 5% per year. Department faculty is about 19% below its recent average. 2027 Summer: 16% chance, low confidence. Offered in 1 of 3 summer terms since 2024. Department course count falling about 11% per year. 2027 Intersession: 6% chance, medium confidence. Offered in 0 of 7 intersession terms since 2017.
2026 2 sections 1 section Not offered No data
2025 2 sections 1 section Not offered Not offered
2024 2 sections 1 section 1 section Not offered
2023 2 sections 1 section Not offered Not offered
2022 2 sections 1 section Not offered Not offered
2021 2 sections Not offered Not offered Not offered
Forecast Under 15% 15–39% 40–69% 70–89% 90%+ Not enough history
Fall Spring Summer Intersession More sections Not offered No data

Meeting times

Recent first
  • Fri, 10:00 AM–10:50 AM Carlson Hall CH128 2026-32025-42025-12024-22022-1
  • Tue, Thu, 10:25 AM–11:40 AM Carlson Hall CH231 2026-22025-12025-22024-12021-1
  • Fri, 9:00 AM–9:50 AM Carlson Hall CH231 2026-12025-2
  • Mon, Wed, 12:00 PM–1:15 PM Carlson Hall CH128 2026-4
  • Wed, 9:00 AM–9:50 AM JC103 2026-1
  • Mon, Fri, 10:25 AM–11:40 AM JC120 2026-2
  • Tue, Thu, 7:20 PM–8:35 PM Carlson Hall CH128 2025-3
  • Fri, 11:00 AM–11:50 AM JC103 2024-42023-12022-1
Credit-bearing sections of BAN104
TermProfessorTypeCreditsEnrollmentCRN
Fall 2026Jin FangLecture1 30 of 30 enrolled21254
Fall 2026Yue Gao (She/Her)Lecture1 30 of 30 enrolled21255
Spring 2026Jin FangLecture1 32 of 30 enrolled31624
Fall 2025Jing Zhang (She/Her)Lecture1 30 of 30 enrolled21254
Fall 2025Michael J. KrikonisLecture1 23 of 30 enrolled21255
Spring 2025Jing Zhang (She/Her)Lecture1 32 of 30 enrolled31624
Fall 2024Jing Zhang (She/Her)Lecture1 18 of 18 enrolled21254
Fall 2024Michael J. KrikonisLecture1 30 of 30 enrolled21255
Summer 2024Jing Zhang (She/Her)Online1 8 of 30 enrolled11643
Spring 2024Michael J. KrikonisLecture1 29 of 30 enrolled31624
Fall 2023Jing Zhang (She/Her)Lecture1 29 of 30 enrolled21254
Fall 2023Michael J. KrikonisLecture1 30 of 30 enrolled21255
Spring 2023Jing Zhang (She/Her)Lecture1 31 of 30 enrolled31624
Fall 2022Michael J. KrikonisLecture1 24 of 30 enrolled21255
Fall 2022Jing Zhang (She/Her)Lecture1 30 of 30 enrolled21254
Spring 2022Jing Zhang (She/Her)Lecture1 31 of 30 enrolled31624
Fall 2021Jing Zhang (She/Her)Lecture1 26 of 30 enrolled28445
Fall 2021Jing Zhang (She/Her)Lecture1 30 of 30 enrolled28444

No-credit sessions

No-credit sections of BAN104
TermProfessorTypeCreditsEnrollmentCRN
Fall 2021Jing Zhang (She/Her)Disc/Dialog/Case Stds/Exercise- 30 of 30 enrolled28556