BADM 590

Fall 2022 Part of Term 1

Part of Term 1
Aug 22-Dec 7

Seminar in Business Admin

SHOW FINAL EXAM SCHEDULE

Credit: 0 TO 4 hours.

Special topics in the general area of business. Topics are selected by the instructor at the beginning of each term.

Approved for letter and S/U grading. May be repeated if topics vary; unlimited credit hours for graduate and professional students.

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BADM 590 class schedule data for fall 2022
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
10402	Independent Study		ARRANGED	n.a.	Location Pending		Part of Term: 1 Date Range: 08/22/22-12/07/22 Special Approval: Departmental Approval Required Restriction(s): Restricted to Graduate - Urbana-Champaign or Professional - Urbana.
51224	Online	BDI	9:30AM -10:50AM	TR	n.a.	Pamuksuz, U	Part of Term: 1 Date Range: 08/22/22-12/07/22 Credit: 4 hours Section Title: Big Data Infrastructures Section Info: This course is open to students pursuing the Graduate Concentration in Business Data Analytics. This course provides students to get a thorough understanding of the fundamentals of big data platforms, engineering, data structures and algorithms for both operational and analytical use cases. Experimenting end to end pipelines on cloud platforms from data collection to presenting data driven insights for a nontechnical audience. Students will have the opportunity to understand both relational, analytical databases and NoSQL databases on the cloud as well as on premise from real-life datasets while leveraging programmatic or configuration driven data pipelines. Students are required to log in and use Compass2g (compass2g.illinois.edu) in order to complete this course. Restriction(s): Restricted to MS: Technology Management-UIUC or MS:Business Analytics - UIUC.
50228	Lecture-Discussion	HPM	12:30PM -1:50PM	MW	Business Instructional Fac	Seshadri, S	Part of Term: 1 Date Range: 08/22/22-12/07/22 Credit: 4 hours Section Title: Healthcare Process Mgmt Section Info: In this course students learn process models of healthcare delivery, and concepts of process analysis and process optimization for performance under resource constraints. This course will cover the following topics: Understanding the US Healthcare Delivery System. Advantages and vulnerabilities of managed care. Measuring Healthcare Quality. Measures of healthcare performance and quality such as readmissions. Understanding Patient Satisfaction and Patient Experience. Measuring patient satisfaction, and factors associated with patient experience and satisfaction. Managing Process Flows. Understand pathways of patient flow through the healthcare system. Managing Preventative Care. Preventative care scheduling and risk-based optimization. Designing processes for access and affordability. Delivering healthcare to a diverse set of populations. Restriction(s): Restricted to MS: Technology Management-UIUC, MS:Management -UIUC, or MS:Business Analytics - UIUC.
37917	Lecture-Discussion	IS1	12:30PM -3:20PM	R	Business Instructional Fac	Pant, G	Part of Term: 1 Date Range: 08/22/22-12/07/22 Credit: 4 hours Section Title: Machine Learning in Bus Res Section Info: This course will meet in 4001 BIF. The class explores the role of machine learning (ML) while studying business policy-related research questions. We will discuss academic papers related to both methods and applications. While the focus will be on ML applications in information systems research, we will also explore applications in other areas such as management, finance, and accounting. Students will be expected to work on a research proposal and preliminary analysis. Restriction(s): Restricted to PHD:Business Administrtn -UIUC.
54579	Lecture-Discussion	MA	3:30PM -4:50PM	TR	Business Instructional Fac	Narang, U	Part of Term: 1 Date Range: 08/22/22-12/07/22 Credit: 4 hours Section Title: Marketing Analytics Section Info: The recent growth in structured and unstructured data combined with sophisticated techniques for leveraging these data for decision-making, creates huge opportunities for marketers. This course introduces key concepts in marketing analytics and shows how analytics can help solve real-world marketing problems. Covered topics include data scraping, text analysis, data visualization, machine learning, causal and predictive models. Each technique is implemented using "mini cases" in R programming with unique datasets from a variety of marketing contexts. Restriction(s): Restricted to MS: Technology Management-UIUC, MS:Management -UIUC, or MS:Business Analytics - UIUC.
38751	Lecture-Discussion	OMI	6:00PM -7:50PM	R	Business Instructional Fac	Seshadri, S	Part of Term: 1 Date Range: 08/22/22-12/07/22 Credit: 2 hours Section Title: OM/IS Proseminar Prep Section Info: This course will meet in 3015/3017 BIF. This course is for PhD students in the Information Systems and Operations Management disciplines. Students will read the Pro Seminar paper ahead of time along with important references contained in the paper or as indicated by the course coordinator. Students will take turns presenting the detailed arguments in the paper and critiquing them. They will learn to evaluate papers and write a review report for the paper being presented. Restriction(s): Restricted to PHD:Business Administrtn -UIUC.
46671	Lecture-Discussion	QRM	2:00PM -4:50PM	T	Business Instructional Fac	Graebner, M	Part of Term: 1 Date Range: 08/22/22-12/07/22 Credit: 4 hours Section Title: Qualitative Res Methods Section Info: This course will meet in 4001 BIF. Restriction(s): Restricted to PHD:Business Administrtn -UIUC.
54729	Lecture-Discussion	SIB	4:30PM -5:50PM	R	Wohlers Hall	Sakhartov, A	Part of Term: 1 Date Range: 08/22/22-12/07/22 Credit: 2 hours Section Title: Strategy Brown Bag Seminar Section Info: This course will meet in 343L Wohlers Hall. Restriction(s): Restricted to PHD:Business Administrtn -UIUC.