BADM 590

Spring 2022 All Classes

All Classes

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 2022
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
10402	Independent Study		ARRANGED	n.a.	Location Pending		Part of Term: 1 Date Range: 01/18/22-05/04/22 Special Approval: Departmental Approval Required Restriction(s): Restricted to Graduate - Urbana-Champaign or Professional - Urbana.
52706	Lecture-Discussion	BDI	6:30PM -9:20PM	T	3039 Business Instructional Fac	Pamuksuz, U	Part of Term: 1 Date Range: 01/18/22-05/04/22 Credit: 4 hours Section Title: Big Data infrastructure Section Info: This course is open to students pursuing the Graduate Concentration in Business Data Analytics. Restriction(s): Restricted to MS: Technology Management-UIUC or MS:Business Analytics - UIUC.
31460	Online	BDO	6:30PM -9:20PM	T	n.a.	Pamuksuz, U	Part of Term: 1 Date Range: 01/18/22-05/04/22 Special Approval: Departmental Approval Required Credit: 4 hours Section Title: Big Data Infrastructure
52708	Lecture-Discussion	BRM	12:30PM -1:50PM	TR	245 Wohlers Hall	Torelli, C	Part of Term: 1 Date Range: 01/18/22-05/04/22 Credit: 4 hours Section Title: Brand Management Section Info: Marketers recognize that brands are the most valuable assets that a firm can have. Companies sometimes go through turbulent times, but their brands frequently withstand these difficulties and stay over time. As important as brands are for a company’s long-term success, the study of how to build strong brands has been somewhat neglected in business schools’ programs. Brand Management is an advanced Marketing elective that addresses the key issues of brand asset management faced by firms in the 21st century. Brand Management helps to integrate theory and practice in order to provide students with an actionable theoretical framework that they can use in the workplace. Class discussions will focus on providing theoretical tools for uncovering and understanding the associations that consumers establish with their brands, and for predicting the effects of these associations on brand-related judgments and behaviors. This course draws heavily on theories of consumer behavior to explain how consumers react to a firm’s brand strategies. The course will make you aware of current issues in brand management and will encourage discussions about how to address these issues using theoretically sound approaches. Restriction(s): Restricted to MS:Business Administrtn -UIUC, MS: Technology Management-UIUC, or MS:Management -UIUC.
55849	Lecture-Discussion	CA	3:30PM -6:20PM	W	3057 Business Instructional Fac	Bao, Y	Part of Term: 1 Date Range: 01/18/22-05/04/22 Credit: 4 hours Section Title: Consumer Analytics Section Info: This course is open to students pursuing the Graduate Minor or Concentration in Business Data Analytics. 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:Business Administrtn -UIUC, MS: Technology Management-UIUC, MS:Management -UIUC, or MS:Business Analytics - UIUC.
31477	Online	CAO	3:30PM -6:20PM	W	n.a.	Bao, Y	Part of Term: 1 Date Range: 01/18/22-05/04/22 Special Approval: Departmental Approval Required Credit: 4 hours Section Title: Consumer Analytics
52704	Online	GRE	2:00PM -3:20PM	TR	n.a.	Shah, S	Part of Term: B Date Range: 03/14/22-05/04/22 Credit: 2 hours Section Title: Entrepreneurship Restriction(s): Restricted to MS:Business Administrtn -UIUC, MS: Technology Management-UIUC, MS:Management -UIUC, or MS:Business Analytics - UIUC.
51352	Lecture-Discussion	HR	3:30PM -6:20PM	R	3039 Business Instructional Fac	Kraatz, M	Part of Term: B Date Range: 03/14/22-05/04/22 Credit: 2 hours Section Title: HR Management & Strategy Restriction(s): Restricted to MS:Business Administrtn -UIUC, MS: Technology Management-UIUC, or MS:Management -UIUC.
49293	Lecture-Discussion	INT	9:30AM -12:20PM	T	ARR Business Instructional Fac	Ocasio, W	Part of Term: 1 Date Range: 01/18/22-05/04/22 Credit: 4 hours Section Title: Institutional Theory Section Info: This section will meet in BIF 3015/3017. Restriction(s): Restricted to PHD:Business Administrtn -UIUC.
41596	Lecture-Discussion	IS2	5:00PM -7:50PM	T	Location Pending	Garimella, A	Part of Term: 1 Date Range: 01/18/22-05/04/22 Credit: 4 hours Section Title: AI in Business & Society Section Info: This course will meet in 3015/3017 BIF. This course is designed to provide doctoral students an introduction to recent research in the area of Artificial Intelligence-augmented decision making. While the transformative potential of AI is widely recognized, there is still significant uncertainty for businesses on whether and how to effectively integrate AI into their existing processes. Before designing, implementing, and using AI-augmented systems, practitioners have several issues to consider. For example, how do human biases enter algorithms? And how is human decision making influenced by AI input? When do humans embrace advice from an algorithm and when do they reject it? When and how can AI be best used to augment human intelligence? The papers we read will address questions such as these. Besides examining the research themes important to human – algorithm interaction, we discuss many issues affecting the research process including rigor versus relevance, problem formulation, writing, submitting, and presenting papers. This course aims to help you transition from a consumer of research to an active researcher and a contributor of insight. Restriction(s): Restricted to PHD:Business Administrtn -UIUC.
31445	Lecture-Discussion	MA	11:00AM -12:20PM	TR	3007 Business Instructional Fac	Narang, U	Part of Term: 1 Date Range: 01/18/22-05/04/22 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.
43698	Lecture-Discussion	O	1:00PM -3:50PM	W	ARR Business Instructional Fac	Yao, K	Part of Term: 1 Date Range: 01/18/22-05/04/22 Credit: 4 hours Section Title: Orgs & Int'l Business Section Info: This section will meet in BIF 4001. This course seeks to get an overview of research in international business with particular emphasis on macro-organizational theory. Primary attention will be given to the content domains, presuppositions, core propositions, chains of reasoning that underlie a body of organizational scholarship. However, theory is grasped not only in the weighty tomes of pure theorists but also in the empirical research that aims to determine the veracity or falsity of theoretical ideas. We will also give attention to the research methods employed in organizational research, for any assessment of the findings or theoretical implications of research cannot be divorced from the methods used to gather and analyze data. Restriction(s): Restricted to PHD:Business Administrtn -UIUC.
43945	Discussion/ Recitation	OMI	6:00PM -7:50PM	R	2001 Business Instructional Fac	Seshadri, S	Part of Term: 1 Date Range: 01/18/22-05/04/22 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.
31472	Lecture-Discussion	R	1:00PM -3:50PM	T	ARR Business Instructional Fac	Bruce, J	Part of Term: 1 Date Range: 01/18/22-05/04/22 Credit: 4 hours Section Title: Survey of Research Methods Section Info: This section will meet in BIF 3015/3017. This course will provide a high-level introduction to an array of research methods used in organizational and business administrative scholarship. Students will read, evaluate, and discuss published studies, focusing on core methodological issues, such as: research questions, research design, measurement, sampling, data collection, and constructing evidence-based arguments. The majority of the course will focus on quantitative approaches, though qualitative methods will also be covered; computational methods will also be discussed. Restriction(s): Restricted to PHD:Business Administrtn -UIUC.
57299	Lecture-Discussion	REV	9:30AM -10:50AM	MW	3003 Business Instructional Fac	Seshadri, S	Part of Term: A Date Range: 01/18/22-03/11/22 Credit: 2 hours Section Title: Revenue Management Section Info: Through a combination of case studies and lectures, the course will review the main methodologies that are used in these industries, discuss legal issues associated with different pricing strategies, and survey current practices in different industries. The ultimate goal is for students to learn to identify and exploit opportunities for revenue optimization in different business contexts. The topics covered in the course are either directly or indirectly related to pricing issues faced by firms that operate in environments where they enjoy some degree of market power. Within the broader area of pricing theory, the course places particular emphasis on tactical optimization of pricing and capacity allocation decisions. These are tackled using quantitative models of consumer behavior (e.g., captured via appropriate price-response relations), demand forecasts and market uncertainty, and the tools of constrained optimization -- the two main building blocks of revenue optimization systems. The topics covered include, Introduction to Pricing and Revenue Optimization; Static Price Optimization Models -- Differential Pricing, Models of Consumer Demand, Pricing as Constrained Optimization and Customized Pricing; and Dynamic Pricing Models – Markdown Management, Network Pricing Models, Surge Pricing and Repricing. Restriction(s): Restricted to MS:Business Administrtn -UIUC, MS: Technology Management-UIUC, MS:Management -UIUC, or MS:Business Analytics - UIUC.
46486	Lecture-Discussion	SIB	4:30PM -5:50PM	R	ARR Wohlers Hall	Schijven, M	Part of Term: 1 Date Range: 01/18/22-05/04/22 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.