BADM 590

Spring 2024 Part of Term 1

Part of Term 1
Jan 16-May 1

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 spring 2024
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
55849	Lecture-Discussion	CA	2:00PM -3:20PM	TR	226 Wohlers Hall	Bao, Y	Part of Term: 1 Date Range: 01/16/24-05/01/24 Credit: 4 hours Section Title: Consumer Analytics Section Info: Meets with BADM 395 CA. This course takes an in-depth look at customer analytics. Students with an interest in entrepreneurship will also find the course useful as new businesses often rely on social media marketing. In a response to a growing interest among businesses to use consumer data to make decisions. This course will prepare students to identify sources of data to examine how an organization’s actions affect relevant decisions, select suitable methods to analyze these data, and understand the risks involved. Through a series of courses, hands-on consumer analytics projects, and events, students will learn how to manage consumer analytics projects and translate the results into strategic insights. Restriction(s): Restricted to MS: Technology Management-UIUC, MS:Management -UIUC, or MS:Business Analytics - UIUC.
31477	Lecture-Discussion	CA2	6:30PM -7:50PM	TR	3039 Business Instructional Fac	Bao, Y	Part of Term: 1 Date Range: 01/16/24-05/01/24 Credit: 4 hours Section Title: Consumer Analytics Section Info: This course takes an in depth look at customer analytics. Students with an interest in entrepreneurship will also find the course useful as new businesses often rely on social media marketing. In a response to a growing interest among businesses to use consumer data to make decisions. This course will prepare students to identify sources of data to examine how an organization’s actions affect relevant decisions, select suitable methods to analyze these data, and understand the risks involved. Through a series of courses, handson consumer analytics projects, and events, students will learn how to manage consumer analytics projects and translate the results into strategic insights. Restriction(s): Restricted to MS: Technology Management-UIUC or MS:Business Analytics - UIUC.
49570	Lecture-Discussion	DIG	6:30PM -7:50PM	TR	3009 Business Instructional Fac	Raquel, S	Part of Term: 1 Date Range: 01/16/24-05/01/24 Credit: 4 hours Section Title: Digital Marketing Section Info: We live in a world with an increasing dependence on digital technologies that impact all aspects of our lives and has disrupted decades-old ways of consuming content, making it increasingly more difficult for traditional marketing to be effective both in terms of cost and impact. However, digital technologies are also a new avenue for marketers to reach their target audiences in more creative and cost-efficient ways. The objective of this course is to examine these emerging digital platforms and learn to incorporate them into an effective and impactful digital marketing strategy. This class is designed to help you acquire a strong understanding of what digital marketing elements consist of and how to integrate it into a Digital Marketing Strategy. We will be evaluating each step in the development of the strategy and getting hands on experience in the latest digital media platforms. In addition, I will have guest speakers coming in to speak in various areas of expertise that they possess. Restriction(s): Restricted to MS: Technology Management-UIUC, MS:Management -UIUC, or MS:Business Analytics - UIUC.
49293	Lecture-Discussion	DMO	1:00PM -3:50PM	M	ARR Business Instructional Fac	Ocasio, W	Part of Term: 1 Date Range: 01/16/24-05/01/24 Credit: 4 hours Section Title: Designing & Managing Strat Org Section Info: This section will meet in BIF 4001. The topics covered will include organizational identity and purpose, strategy processes and practices, organizational architecture, governance and executive leadership, organizational attention and control, culture and communication, and strategic adaptation, learning, and innovation. Restriction(s): Restricted to PHD:Business Administrtn -UIUC.
31476	Lecture-Discussion	HPM	2:00PM -3:20PM	MW	3039 Business Instructional Fac	Seshadri, S	Part of Term: 1 Date Range: 01/16/24-05/01/24 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:Business Analytics - UIUC, MS: Technology Management-UIUC, or MS:Management -UIUC.
51352	Lecture-Discussion	HR	3:30PM -6:20PM	R	3009 Business Instructional Fac	Szymanski, M	Part of Term: 1 Date Range: 01/16/24-05/01/24 Credit: 4 hours Section Title: HR Management & Strategy Restriction(s): Restricted to MS: Technology Management-UIUC, MS:Management -UIUC, or MS:Business Analytics - UIUC.
57696	Lecture-Discussion	IB2	4:00PM -6:50PM	M	ARR Business Instructional Fac	Clougherty, J	Part of Term: 1 Date Range: 01/16/24-05/01/24 Credit: 4 hours Section Title: Economics of International Bus Section Info: This course will meet in BIF 3015/3017. Restriction(s): Restricted to PHD:Business Administrtn -UIUC.
41596	Lecture-Discussion	IS2	1:00PM -3:50PM	W	ARR Business Instructional Fac	Gao, Y	Part of Term: 1 Date Range: 01/16/24-05/01/24 Credit: 4 hours Section Title: Causal Inference Section Info: This course will meet in BIF 2054. This class is intended to equip students with reduced-form/design-based approaches for causal inference. The (tentative) topics we will cover include potential outcome framework, graphical causal models, matching estimators, randomized experiments, natural experiments, 2x2 difference-in-differences (DID), staggered DID, stacked DID, synthetic control, synthetic DID, instrumental variables, regression discontinuity, and machine learning for causal inference. We will focus on how each design mitigates the threats to causal inference, as well as its potential caveats. This course will emphasize the application of econometric tools and should not be treated as a replacement for standard econometric training. Restriction(s): Restricted to PHD:Business Administrtn -UIUC.
31445	Lecture-Discussion	MA	3:30PM -6:20PM	W	243 Wohlers Hall	Narang, U	Part of Term: 1 Date Range: 01/16/24-05/01/24 Credit: 4 hours Section Title: Marketing Analytics Section Info: This course will meet with BADM 361. 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.
31446	Lecture-Discussion	NEG	3:30PM -6:20PM	W	2007 Business Instructional Fac	Warnick, T	Part of Term: 1 Date Range: 01/16/24-05/01/24 Credit: 4 hours Section Title: Negotiations Restriction(s): Restricted to MS: Technology Management-UIUC, MS:Management -UIUC, or MS:Business Analytics - UIUC.
43945	Discussion/ Recitation	OMI	6:00PM -7:50PM	R	3003 Business Instructional Fac	Seshadri, S	Part of Term: 1 Date Range: 01/16/24-05/01/24 Credit: 2 hours Section Title: OM/IS Proseminar Prep Course Section Info: This section will meet in BIF 3015/3017. 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.
46486	Lecture-Discussion	SIB	4:30PM -5:50PM	R	ARR Wohlers Hall	Chattopadhyay, S	Part of Term: 1 Date Range: 01/16/24-05/01/24 Credit: 2 hours Section Title: SEIB Brown Bag Seminar Section Info: This section will meet in 343L Wohlers Hall. Restriction(s): Restricted to PHD:Business Administrtn -UIUC.
50843	Lecture-Discussion	UIX	2:00PM -3:20PM	TR	1000 Siebel Center for Design	Haran, V	Part of Term: 1 Date Range: 01/16/24-05/01/24 Credit: 4 hours Section Title: UI/UX Design Section Info: A project-based introduction to the user-experience design process and is oriented towards teaching practical methods for approaching a design problem. Students will gain an understanding of human-centered design process to enhance the user experience by going through the four important steps of design process- understanding, synthesizing, ideating and prototyping. Restriction(s): Restricted to MS: Technology Management-UIUC, MS:Management -UIUC, or MS:Business Analytics - UIUC.