BAN104
AI ENABLED MGMT INFO SYSTEMS
Other titles (2)
- INTRO TO MGMT INFO SYSTEMS
- DISC: INTRO TO MGMT INFO SYS
- Department
- Business Analytics
- 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
| Year | Fall | Spring | Summer | Intersession |
|---|---|---|---|---|
| 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 |
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
| Term | Professor | Type | Credits | Enrollment | CRN |
|---|---|---|---|---|---|
| Fall 2026 | Jin Fang | Lecture | 1 | 30 of 30 enrolled | 21254 |
| Fall 2026 | Yue Gao (She/Her) | Lecture | 1 | 30 of 30 enrolled | 21255 |
| Spring 2026 | Jin Fang | Lecture | 1 | 32 of 30 enrolled | 31624 |
| Fall 2025 | Jing Zhang (She/Her) | Lecture | 1 | 30 of 30 enrolled | 21254 |
| Fall 2025 | Michael J. Krikonis | Lecture | 1 | 23 of 30 enrolled | 21255 |
| Spring 2025 | Jing Zhang (She/Her) | Lecture | 1 | 32 of 30 enrolled | 31624 |
| Fall 2024 | Jing Zhang (She/Her) | Lecture | 1 | 18 of 18 enrolled | 21254 |
| Fall 2024 | Michael J. Krikonis | Lecture | 1 | 30 of 30 enrolled | 21255 |
| Summer 2024 | Jing Zhang (She/Her) | Online | 1 | 8 of 30 enrolled | 11643 |
| Spring 2024 | Michael J. Krikonis | Lecture | 1 | 29 of 30 enrolled | 31624 |
| Fall 2023 | Jing Zhang (She/Her) | Lecture | 1 | 29 of 30 enrolled | 21254 |
| Fall 2023 | Michael J. Krikonis | Lecture | 1 | 30 of 30 enrolled | 21255 |
| Spring 2023 | Jing Zhang (She/Her) | Lecture | 1 | 31 of 30 enrolled | 31624 |
| Fall 2022 | Michael J. Krikonis | Lecture | 1 | 24 of 30 enrolled | 21255 |
| Fall 2022 | Jing Zhang (She/Her) | Lecture | 1 | 30 of 30 enrolled | 21254 |
| Spring 2022 | Jing Zhang (She/Her) | Lecture | 1 | 31 of 30 enrolled | 31624 |
| Fall 2021 | Jing Zhang (She/Her) | Lecture | 1 | 26 of 30 enrolled | 28445 |
| Fall 2021 | Jing Zhang (She/Her) | Lecture | 1 | 30 of 30 enrolled | 28444 |
No-credit sessions
| Term | Professor | Type | Credits | Enrollment | CRN |
|---|---|---|---|---|---|
| Fall 2021 | Jing Zhang (She/Her) | Disc/Dialog/Case Stds/Exercise | - | 30 of 30 enrolled | 28556 |