Industrial and Systems Engineering Master of Science Program Data Analytics and Optimization

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1 Industrial and Systems Engineering Master f Science Prgram Data Analytics and Optimizatin Department f Integrated Systems Engineering The Ohi State University (Expected Duratin: 3 Semesters) Our sciety is underging a majr transfrmatin with the use f large-scale, diverse, and high-reslutin data sets that allw fr data-intensive decisin-making and ptimizatin. There is an imperative need fr data analytics means and methds fr using large data sets and cmputer mdels t drive business value, understand human relatinships, and imprve decisin-making. The pwerful cmbinatin f big data analytics with ptimizatin has been successfully demnstrated and will be increasingly needed in the management f: healthcare and transprtatin netwrks retail and financial decisin making supply chain and lgistics systems large scale infrmatin systems manufacturing peratins energy and smart grids scial netwrks. The ISE Masters Prgram in Data Analytics and Optimizatin is designed t prvide students with a strng backgrund in analytics, data science, cmputer science and ptimizatin methds. The track requires a sequence f curses in: cmputer science peratins research cgnitive engineering prbability and statistics Additinal electives are als recmmended in Business, Cmputer Science Engineering (CSE) and Industrial and Systems Engineering (ISE) and Statistics (STAT).

2 Students will be prepared in the use f critical tl sets necessary fr managing, visualizing, and extracting useful infrmatin frm big data, as well as pwerful skill sets such fr mdeling, simulatin, ptimizatin and decisin analysis in rder t supprt efficient data-driven decisin making. Admissin Requirements. Prir t admissin, students interested in admissin t this Masters Prgram shuld be prficient in the fllwing areas 1 : Vectr calculus Cmputer prgramming (e.g., C, C++, Java) Calculus-based prbability Prbability-based statistics Linear algebra Graduatin Requirements. All Analytics Graduate Students must satisfy degree requirements defined in the Industrial and Systems Engineering Graduate Student Handbk ( T cmplete the ISE Masters Prgram in Data Analytics and Optimizatin, students must cmplete a ttal f 36 graduate credit hurs. The curse wrk cnsists f: 12 semester hurs f ISE curses, 10 semester hurs f CSE curses, 4 semester hurs f STAT curses, and 3 semester hurs f Visual Analytics (in ttal 29 credit hurs) 2 semester hurs f ISE 7883 (Department Seminar) and ne 5000-level r higher ISE curse in manufacturing r human factrs, subject t apprval f the advisry cmmittee, in rder t meet the ISE secndary sub-discipline requirement. (in ttal 5 semester hurs ) A prject, exam r Masters thesis designed t meet the exit requirements f the Data Analytics and Optimizatin MS Prgram: 1. M.S. students can meet the exit requirement by 1) ding a Masters thesis (4 units); r 2) earning a B r higher in a r higher- level Analytics elective curse that is at least 2 units and has a prject requirement; r 3) passing the M.S. Exit Examinatin. 2. M.S. students wh are nt ding the thesis ptin and did nt receive a B r higher in a 5000-level Analytics elective curse with a prject requirement may instead take the M.S. Exit Examinatin. 3. The M.S. Exit Examinatin is administered annually during the week after Spring final examinatins have been cmpleted. Any ISE graduate student wh achieves an verall GPA (including all graduate curses taken at OSU) f 3.00 is eligible t take the exam. 1 Students withut evidence f this material n their transcripts will have t demnstrate prficiency with the subject matter. This can be accmplished via apprpriate cursewrk, at either the undergraduate r graduate level, t be determined in cnsultatin with the academic adviser.

3 M.S. Exit Examinatin fr ISE M.S. Analytics students M.S. students wh are nt ding the thesis ptin and did nt receive a B r higher in a 5000-level Analytics elective curse with a prject requirement may instead take the M.S. Exit Examinatin. The M.S. Exit Examinatin is administered annually during the week after Spring final cmplete. Any ISE graduate student wh achieves an verall GPA (including all curses taken at OSU) f 3.00 is eligible t take the exam. Thse students wh are planning t graduate in Fall shuld take the exam in the preceding Spring semester. The prcess t sign-up fr the exam will be annunced during Spring semester. Students intending t take the exam must sign-up befre the annunced deadline, s there is sufficient time t check that the grade eligibility requirement is satisfied. The intent f the exam is t verify that students are sufficiently well grunded in the fundamentals f OR. Fr example, the exam might cver the fllwing tpics: Optimizatin: Integer and Linear Prgramming Frmulatins and Slutin Methds; Linear Prgramming Thery and Duality; Cmplexity Thery; Cnvexity Stchastic Prcesses: Randm Variables; Prbability Distributins; Cnditinal Prbability and Expectatins; Randm Number Generatin; Simulatin Thery Statistics: Parametric and Nn-Parametric Hypthesis Testing; Distributin Fitting; Regressin After the exams have been cmpleted, the OR Faculty meet t discuss each student s perfrmance n the exam and perfrmance in classes taken. Based n this, the faculty determine whether each student has passed r failed the examinatin. A student wh has failed the examinatin, may be deemed eligible t retake it. Students wh are deemed eligible t retake the exam must d s the next time that it is ffered. N student will be eligible t take the exam mre than twice. The fllwing curse requirements fcusing n data analytics and ptimizatin: Required Data Analytics and Optimizatin Curses (students wh have previusly cmpleted the equivalent f these curses can select substitutes frm the list f recmmended electives): ISE (12 credit hurs) ISE 5110 Design f Engineering Experiments (3) ISE 5200 Linear Optimizatin (3) ISE 6300 Simulatin fr System Analytics and Decisin-Making (3) ISE 7250 Operatins Research Mdels and Methds (3) CSE (10 credit hurs) CSE 5023 Sftware II (Java II) (3) CSE 5241 Intrductin t Database Systems (2) CSE 5032 Fundatins I: Discrete Structures (2) CSE 5243 Intrductin t Data Mining (3) STAT (4 credit hurs) Stat 6450 Applied Regressin Analysis (4) Visual Analytics (3 credit hurs) One f the fllwing - ISE 5760 Visual Analytics and Sense Making 2 (3) - CSE 5544 Intrductin t Scientific Visualizatin (3) 2 ISE5700 is a prerequisite fr ISE5760. ISE5700 can be used t fulfill the ISE secndary sub-discipline requirement.

4 Additinal ISE Requirements Seminar (2 credit hurs) ISE 7883: Seminar (2) One 5000-level r higher ISE curse in manufacturing, r human factrs: Recmmended curses- ISE 5682 Fundamentals f Prduct Design Engineering, r ISE 5600 Principles f Occupatinal Bimechanics and Industrial Ergnmics, r ISE 5700 Cgnitive Systems Engineering Pssible prject curses and recmmended electives (students shuld check t make sure the curse has a prject requirement in the semester ffered) ISE ISE 6220 Netwrk Optimizatin ISE 6290 Stchastic Optimizatin ISE 7100 Advanced Simulatin ISE 7210 Large-Scale Optimizatin ISE 7230 Integer Optimizatin ISE 7420 Sequencing and Scheduling CSE CSE 5523 Machine Learning and Statistical Pattern Recgnitin (3) CSE 5331 Fundatins II: Data Structures and Algrithms (2) CSE 5122 Data Structures Using C++ (3) STAT PUBHBIO Applied Lgistic Regressin Stat 5740 Intrductin t SAS Sftware (2) Stat 6550 The Statistical Analysis f Time Series (2) Stat 6740 Data Management and Graphics fr Statistical Analyses (3)

5 Data Analytics Curse Track Autumn I Credit Hurs Spring I Credit Hurs ISE 5200 Linear 3 CSE 5023* 3 Optimizatin Sftware II (Java II) CSE 5241* Intr t Database Systems 2 ISE 7250 OR Mdels & Methds 3 ISE 5110 Design f Engr. Experiments STAT Applied Regressin Analysis ISE 7883 Department Seminar 3 ISE 6300 Simulatin fr System Analytics & Decisin- Making 4 Visual Analytics (Chse 1) ISE 5760~ Visual Analytics & Sense Making r CSE 5544 Data Visualizatin 1 ISE 7883 Department Seminar TOTAL 13 TOTAL 13 Autumn II Credit Hurs ISE Secndary Sub- 3 Discipline~ CSE Intr t 3 Data Mining CSE 5032* 2 Fundatins I: Discrete Structures ISE 5000 level r 2-4 higher prject curse^ r thesis hurs TOTAL Students shuld cntact the ISE Graduate Prgram Crdinatr, Amber Rbinsn rbinsn.1965@su.edu, fr a time t take cmpleted curse enrllment frms t the CSE and STAT Departments fr signatures. Students shuld nt directly cntact the Departments.

6 +CSE 5243 & STAT 6450 are Autumn nly curses *CSE 5032, 5023, & 5241 are ffered every semester, including summer sessin ~ One 5000-level r higher ISE curse in manufacturing, r human factrs: Recmmended curses- ISE 5682 Fundamentals f Prduct Design Engineering, r ISE 5600 Principles f Occupatinal Bimechanics and Industrial Ergnmics, r ISE 5700 Cgnitive Systems Engineering (prerequisite t ISE 5760) ^ Pssible prject curses include (if they have a prject requirement when ffered): ISE ISE 6220 Netwrk Optimizatin ISE 6290 Stchastic Optimizatin ISE 7100 Advanced Simulatin ISE 7210 Large-Scale Optimizatin ISE 7230 Integer Optimizatin ISE 7420 Sequencing and Scheduling CSE CSE 5523 Machine Learning and Statistical Pattern Recgnitin (3) CSE 5331 Fundatins II: Data Structures and Algrithms (2) CSE 5122 Data Structures Using C++ (3) STAT PUBHBIO Applied Lgistic Regressin Stat 5740 Intrductin t SAS Sftware (2) Stat 6550 The Statistical Analysis f Time Series (2) Stat 6740 Data Management and Graphics fr Statistical Analyses (3)

7 Plan f Study Frm: Master f Science Degree in Industrial and Systems Engineering (ISE) Data Analytics and Optimizatin Cncentratin Student Name (please print): Required ISE Curses: A ttal f 12 credit hurs in ISE are required. *Students wh have previusly cmpleted the equivalent f these curses can select substitutes frm the list f recmmended electives ISE 5110 Design f Engineering 3 Experiments ISE 5200 Linear Optimizatin 3 Fall 1 ISE 6300 Simulatin fr System 3 Spring Analytics & Decisin- Making ISE 7250 Operatins Research Mdels & Methds 3 Spring Required CSE Curses: A ttal f 10 credit hurs in CSE are required. *Students wh have previusly cmpleted the equivalent f these curses can select substitutes frm the list f recmmended electives CSE 5023 Sftware II (Java II) 3 CSE 5241 Intr t Database 2 Fall 1 Systems CSE 5032 Fundatins I: Discrete 2 Structures CSE 5243 Intr t Data Mining 3 Spring/Fall 2 Required STAT Curse: A ttal f 4 credit hurs in STAT are required. STAT 6450 Applied Regressin Analysis 4 Fall Required Visual Analytics: Chse ne 3 credit hur curse ISE 5760 Visual Analytics and 3 Spring Sense Making CSE 5544 Intr t Scientific Visualizatin 3 Spring Additinal ISE Requirements Department Seminar: A ttal f tw 1 credit hur curses are required. ISE 7883 Department Seminar 2 Fall 1, Spring

8 ISE Secndary Sub-Discipline: Chse 1 curse. ISE 5682 Fundamentals f Prduct 3 Design Engineering ISE 5600 Principles f ccupatinal 3 Bimechanics and Industrial Ergnmics ISE 5700 Cgnitive Systems Engineering 3 A prject (minimum 2 credit hurs), exam, r Master s thesis (4 credit hurs) designed t meet the exit requirements f the Data Analytics and Optimizatin MS Prgram. Curse, Thesis, r Exam Title Hurs Semester Taken 2-4 Fall 2 Student: Advisr: ISE Graduate Chair: Apprval Signatures Date INSTRUCTIONS FOR STUDENT The first step t cmplete this frm is t arrange a meeting with yur faculty advisr. Yu and yur advisr will discuss a viable plan f study, cmplete the ISE MS Plan f Study frm, and btain yur faculty advisr s signature. Yu shuld als sign the frm, and then seek an apprval signature frm the ISE Graduate Chair. A cpy f this frm shuld be prvided t the ISE Graduate Crdinatr t be placed in yur graduate file in the ISE main ffice (210 Baker Systems). It is als yur respnsibility t prvide a cpy f the ISE MS Plan f Study frm t yur faculty advisr. The Plan f Study must be apprved prir t registratin fr yur secnd semester f study. If any significant changes t yur Plan f Study are made as yu prgress thrugh yur prgram (e.g. substitute curses, change in primary r secndary sub-disciplines, etc.), it is yur respnsibility t seek frmal apprval f thse changes frm yur faculty advisr. This can be dne by writing-in the changes n the riginally submitted ISE MS Plan f Study frm, and btaining the faculty advisr s initials and date next t the changes. This frm als serves as a cnvenient checklist fr yu, yur faculty advisr, and the ISE Graduate Studies Chair t verify that all ISE MS prgram requirements have been met at the cmpletin f yur academic prgram. Yu shuld submit yur applicatin t graduate thrugh GradFrms.su.edu using yur OSU username t submit an Applicatin t Graduate. The deadline t apprve graduatin is the third Friday f the term (the applicatin t graduate deadline includes bth regular term and thse planning t use the End-f-Semester deadline); students shuld apply far enugh in advance t allw time fr bth the Faculty Advisr and the Graduate Studies Chair r Graduate Prgram Crdinatr t apprve the applicatin. Applicatin submissin at least tw weeks prir t the third Friday f the term is highly recmmended. Finally, this frm serves an archival recrd f what curses/credits yu used t fulfill ISE MS prgram requirements. Extraneus curses can be identified by cmparing the curses listed n this frm with the full list f curses shwn n yur fficial transcript. Extraneus curses have the ptential t be transferred t yur dctral prgram f study, if yu decide t pursue that degree.