Teaching

At Johns Hop­kins, I have been teach­ing Oper­a­tions Man­age­ment (MBA core) and Sup­ply and Ser­vice Con­tract­ing (MBA elec­tive) since Spring 2014. Pre­vi­ous­ly, I taught Finan­cial State­ment Analy­sis (under­grad­u­ate-lev­el) an MBA Base­Camp (required MBA-lev­el) at Carnegie Mellon.

Courses Developed and Taught at Johns Hopkins University

BU.920.624 Data Sci­ence: Arti­fi­cial Intel­li­gence, start­ing from Fall 2021

Since its incep­tion in 1950s, Arti­fi­cial Intel­li­gence (AI) has been shaped by the rise and fall of var­i­ous com­pet­ing ideas and tech­niques emerg­ing from a myr­i­ad of dis­ci­plines, includ­ing com­put­er sci­ence, eco­nom­ics, ethics, lin­guis­tics, math­e­mat­ics, oper­a­tions research, phi­los­o­phy, psy­chol­o­gy, and sta­tis­tics. Since 2012, deep learn­ing has tak­en cen­ter stage in AI and expand­ed the land­scape of AI to include appli­ca­tions span­ning vir­tu­al­ly all indus­tries and sectors.

This course will demys­ti­fy AI by intro­duc­ing key con­cepts of AI, includ­ing its math­e­mat­i­cal and com­pu­ta­tion­al foun­da­tions, its eco­nom­ic forces, and its essence in the busi­ness world. Stu­dents will learn how to devel­op con­crete AI appli­ca­tions that trans­form struc­tured and unstruc­tured data to tools with poten­tial of gen­er­at­ing busi­ness and human val­ue. Stu­dents will devel­op a con­crete under­stand­ing of AI strat­e­gy in a vari­ety of busi­ness sce­nar­ios, includ­ing health, oper­a­tions and sup­ply chain man­age­ment, mar­ket­ing, and mar­ket­place design. Stu­dents will also devel­op AI lead­er­ship skills that syn­the­size human and non-human intel­li­gence, with the inner work­ing and lim­i­ta­tion of AI in mind, includ­ing, for exam­ple, how AI can ampli­fy or mit­i­gate human biases.

BU.610.730 Con­tract­ing: Incen­tive Design and Ana­lyt­ics (aka Sup­ply and Ser­vice Con­tract­ing), 2015–2020

This course is an advanced elec­tive course in the Enter­prise Risk Man­age­ment con­cen­tra­tion that empha­sizes: (a) the role of incen­tives with­in and between orga­ni­za­tions; (b) the prin­ci­pal-agent the­o­ry, includ­ing opti­mal con- tract­ing analy­sis in the pres­ence of moral haz­ard and/or adverse selec­tion; © an inte­grat­ed view that com­bines eco­nom­i­cal, oper­a­tional, legal, and polit­i­cal per­spec­tives; (d) prac­tice con­tract­ing and pro­cure­ment knowl­edge, includ­ing the Fed­er­al Acqui­si­tion Reg­u­la­tions (FAR). In teach­ing the course, I uti­lize and devel­op edu­ca­tion­al sim­u­la­tion games and a unique project to pro­vide stu­dents with refresh­ing and trans­ferrable learn­ing experiences.

Courses Revised and Taught at Johns Hopkins University

BU.912.611 Oper­a­tions Man­age­ment (Full-Time MBA Core Course), 2014, 2016, 2017, 2018, 2019, 2021

BU.680.620 Oper­a­tions Man­age­ment (Flex­i­ble MBA Core Course), 2014–2017, 2021

With­in a man­u­fac­tur­ing or ser­vice orga­ni­za­tion, oper­a­tions pro­vide the pow­er nec­es­sary for orches­trat­ing tech­nol­o­gy and resources in cre­at­ing prod­ucts and ser­vices to meet the needs of end con­sumers. Oper­a­tions man­age­ment, accord­ing­ly, con­sists of ideas for shap­ing and inno­vat­ing an organization’s busi­ness mod­el. This course pro­vides a con­cep­tu­al and action­able intro­duc­tion to oper­a­tions man­age­ment and cov­ers a ​wide​ range of top­ics,​ includ­ing oper­a­tions strat­e­gy, process ​map­ping and ​design, queu­ing the­o­ry, inven­to­ry man­age­ment, lean man­u­fac­tur­ing, and rev­enue management​, uni­fied by a thought frame­work known as “the oper­a­tions prism”​ (flows, vari­abil­i­ty, and buffers).​​ ​By ​tak­ing ​a process view of val­ue-added func­tions that lead to an under­stand­ing of how to make ​oper­a­tions ​design choic­es,​ ​​stu­dents will acquire ana­lyt­i­cal and strate­gic think­ing skills cru­cial for ​managing​ 21st-cen­tu­ry operations.