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 KRAN Standard 1-8 Week Survey
 FA16 (2016)
Purdue University  
West Lafayette  
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    Responses / Expected:   36 / 42 (85.71%) 
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1a - Demographics

MGMT59000 - 331
ResponsesCourse
FSJRSRGONGrp
Med
ModeStd
Dev
Q1YOUR CLASS0000360365.050
Responses: [F] Fresh=1 [S] Soph=2 [JR] Jr=3 [SR] Sr=4 [G] Grad=5 [O] Other=6 
1a - Demographics

MGMT59000 - 331
ResponsesCourse
ABCDFPFNGrp
Med
ModeStd
Dev
Q2EXPECTED GRADE29700000366.97.40
Responses: [A] A=7 [B] B=6 [C] C=5 [D] D=4 [F] F=3 [P] Pass=2 [F] Fail=1 
1a - Demographics

MGMT59000 - 331
ResponsesCourse
RFYRBSENGrp
Med
ModeStd
Dev
Q3COURSE REQUIRED11322362.73.91
Responses: [RFY] Required for your major/minor=1 [RBS] Required by school/University=2 [E] Elective=3 
1a - Demographics

MGMT59000 - 331
ResponsesCourse
AGEDEHHSLAMPSCITVMUNGrp
Med
ModeStd
Dev
Q4YOUR SCHOOL000003600000366.060
Responses: [AG] AG=11 [ED] ED=10 [E] ENGR=9 [HHS] HHS=8 [LA] LA=7 [M] MGMT=6 [P] PHARM=5 [SCI] SCI=4 [T] TECH=3 [VM] VET MED=2 [U] UNDECLARED=1 
2a - University questions about your course

MGMT59000 - 331
ResponsesCourse
EGFPVPNGrp
Med
ModeStd
Dev
Q5Overall, I would rate this course as:919620364.04.80
Responses: [E] Excellent=5 [G] Good=4 [F] Fair=3 [P] Poor=2 [VP] Very Poor=1 
2b - University questions about your instructor

Lanham, Matthew A
ResponsesIndividual
EGFPVPNGrp
Med
ModeStd
Dev
Q6Overall, I would rate this instructor as:1812420364.55.87
Responses: [E] Excellent=5 [G] Good=4 [F] Fair=3 [P] Poor=2 [VP] Very Poor=1 
3b - PICES course based questions

MGMT59000 - 331
ResponsesCourse
SAAUDSDNGrp
Med
ModeStd
Dev
Q7Grading is clear and tied to key learning objectives.1316610364.24.79
Responses: [SA] Strongly Agree=5 [A] Agree=4 [U] Undecided=3 [D] Disagree=2 [SD] Strongly Disagree=1 
MGMT standard questions about course

MGMT59000 - 331
ResponsesCourse
EGFPVPNGrp
Med
ModeStd
Dev
Q8The AMOUNT THAT I LEARNED in this course is:520630343.94.80
Responses: [E] Excellent=5 [G] Good=4 [F] Fair=3 [P] Poor=2 [VP] Very Poor=1 
MGMT standard questions about course

MGMT59000 - 331
ResponsesCourse
SAAUDSDNGrp
Med
ModeStd
Dev
Q9Course text/readings/cases are helpful in learning course material.1413620354.25.89
Q10Course assignments/exams/projects are aimed at key learning objectives.1218510364.24.75
Responses: [SA] Strongly Agree=5 [A] Agree=4 [U] Undecided=3 [D] Disagree=2 [SD] Strongly Disagree=1 
 
Q11 - What parts of the course did you like best?
Response Rate:52.78%   (19 of 36)
-notes for the lectures was very good
-it covers so much. sometimes it's hard to keep up, but that's good, I think.
-Working in R to look at data
-The practice assignments were really helpful.
-The chance to learn a new programming language; R is in hot demand now.
-The approach to the final project.
-Teaching basics of R was very important to keep people on the same scale
-R shiny Project
-Project
-Professor is really good, knows his stuff and is incredibly helpful
-In class practice 

Interactive learning 

-I liked the shiny app part the most.
-I liked his teaching and excellent guidance throughout the project.
-I like the organization of this course which walked us through the basics of R. The content and the way professor Matthew taught was straightforward and really helped students like me who do not have much experience in coding.
-Getting hands-on coding and analytics experience by building a Shiny App for the final project was very helpful.
-Examples

GitHub 

-Codes discussed in class
-Assignments with codes
-All.
 
Q12 - What parts of the course did you like least?
Response Rate:52.78%   (19 of 36)
-none so far
-it's 8 AM
-geared toward people with prior experience in coding and R. would have been more beneficial for myself to cover less topics but make sure I understood them completely.
-course content
-This class should have been a lab class
-Theory parts
-The time slot for this course is too early.
-The assignments were not coding intensive. I would have liked it to be medium to high coding heavy.
-That it is a module course.
-Teaching shiney app could have been more productive
-Not many in-class examples were actually executed in R. Mostly shown in slides.
-Not enough assignments. Very ambiguous project. Felt like we spent the first 5 weeks of the 8 weeks not learning anything related to analytics.
-N/a
-Lack of structure and follow-through
-How fast the professor went through the material.
-Everything was fine
-Because it was first time course was offered, there wasn't much structure at all.
-Assignment
-As a BAIM student, I would have liked to learn a lot more from this class.
 
Q13 - What changes would you like to see made in future sessions of this course?
Response Rate:50.00%   (18 of 36)
-not 8 AM
-frequent homeworks requiring coding to make sure understanding of basic concepts in r studio.

-Two sessions on the same day, one with class and other with practice on class in the lab will really help to learn quicker
-This course should have a prerequisite Intro to Programming for graduate business students (and that course should be created to give b-school students an opportunity to learn the basics of python/java/r).

The course should follow the description and concentrate primarily on teaching how to do analytical models using r rather than being able to do all of the setup. Basically, as graduate business students we are more interested in being able to understand the capabilities and models available in r. We are not trying to become good programmers.

-The timing of the class should be postponed to a later slot
-The course should be more structured with more assignments
-Teach linear regression and logistic regression separately
-Remove the 'quiz' style homeworks. Those students who cheated should be burned.
-Provide more incentive to be in class. While I attended every session, because all the lectures were available online, no attendance was taken and most classes were simply lectures, majority of class skipped. Possibly put together in-class projects that are done in small groups and graded in order to engage the class and provide an incentive for people not to skip.
-None.
-More time spent on regression in R and less on plotting and frameworks
-More relation to real world scenarios
-More focus on using R for predictive modelling
-Make it a lab class where we can program
-It should be a semester course.
-Include more problems in R which should be executed in R
-Could be a little more structured and consistent with clear objectives that will be achieved by the end of th ecourse
-Assignments could include more of coding.
MGMT standard questions about instructor

Lanham, Matthew A
ResponsesIndividual
SAAUDSDNGrp
Med
ModeStd
Dev
Q14This instructor demonstrates good knowledge of the subject matter.2412000364.85.47
Q15This instructor displays enthusiasm in teaching this course.2112300364.65.65
Q16The instructor's in-class explanations help clarify course material.1415600354.34.72
Q17This instructor is organized and well prepared for class.1120401364.24.81
Responses: [SA] Strongly Agree=5 [A] Agree=4 [U] Undecided=3 [D] Disagree=2 [SD] Strongly Disagree=1 
 
Q18 - We welcome your written comments below. What is something/are some things that the instructor does well, e.g., something you hope that the instructor will continue to do in the class in the future?
Faculty:Lanham, Matthew A
Response Rate:41.67%   (15 of 36)
-enthusiasm
-Very nice person. Very knowledgeable.
-Tue instructor was very helpful in clarifying doubts as well as in teachung basics of R
-The professor has industry experience and concentrates on things which recruiters look for. His experience came in very handy while teaching relevant topics and making us industry-ready.
-The professor is very enthusiastic and has a deep understanding of not just the subject matter, but also its applications in industry.
-The instructor makes the subject really interesting in his own cool way. In addition, he always encourages students and brings positivity in the class.
-Makes class fun and interesting
-Love Professor's clear logic behind the explanation of the coding and the sharing of excellent examples from indsutry.
-Instructor is enthusiastic, really helpful if you seek his help, and very knowledgeable about the subject. For my major (Business Analytics) he has the most relevant work experience and is an incredible reference.
-I think his knowledge and expertise is very helpful when we have questions.
-I really liked how prof lanham encourages student to take on challenging projects and has such a student friendly attitude.
-I like the way professor explained the course material which was clear and straightforward. He took a logical structure of course content from basics of R to model building which helped us build good foundation in the language.
-He teaches the concepts very well
-Continuous support to students
-A very knowledgeable and friendly person
 
Q19 - Make a suggestion(s) for improving the course (a criticism alone is not helpful; tell your instructor how you would fix any problem).
Faculty:Lanham, Matthew A
Response Rate:36.11%   (13 of 36)
-class should be a lab class
-The professor needs to work on not snapping at people when they ask a question because they don't understand.

Also, there is a huge range of programming experience in the class, but it seemed that the professor did not try to figure out exactly what that range was. Many of us have barely any programming experience, but some people have a whole lot. He also seems to have a difficult time understanding how to teach beginners. I'd suggest that Professor Lanham stick to teaching more advanced level programmers.

Besides having a pre-req for the class, I would most like to see shorter, weekly assignments to help keep students on-track with learning R. Also with this skill level, an exam would be much more useful than an open-ended project. It might be useful for the professor to take a look at open-source R classes to help improve his curriculum.

Before taking this class I had at one point attempted to learn R thru the MITx course. I only lasted four weeks in that course, because I'm not highly motivated unless I'm in a classroom setting. However, I felt I learned much more from that course than I did from this class.

-The initial speed of teaching R cam be reduced a bit with more in class interactive sessions of writing R Code
-The course is really helpful, learned a lot!
-The class started off great at the beginning of the module. The class timing got shorter as the days passed. Would want Professor to keep up the enthusiasm till the end of the course. Overall, Professor has great amount of knowledge and great temperament towards students. Great experience.
-Teach more of linear and logistic regression and the entire process of model buildling
-Provide more incentive to be in class. While I attended every session, because all the lectures were available online, no attendance was taken and most classes were simply lectures, majority of class skipped. Possibly put together in-class projects that are done in small groups and graded in order to engage the class and provide an incentive for people not to skip. If these changes are made, I would love to see Dr. Lanham teach the Data Mining course in the Spring because I believe he is potentially a really good professor who was adjusting to teaching this class for the first time, and the Data Mining class is one of the most important classes for the BAIM program. Given his professional experience and knowledge, if provided more structure to in-class lectures, he would be great for this class.
-Not postponing submission dates because few students dont complete assignments on time
-None
-More examples should be discussed
-If possible, add more homework/assignment components to increase familiarity in R.

Probably cover more concepts in the classroom about analytics use cases.

-I would suggest that he assume no one has any experience in R and go from the very basics. I think that his style led to some people that aren't BAIM being left behind.
-I don't know if this class will work in an 8 week module. Mostly BAIM students populate the class and already have a heavy programming background. Go hard, or go home. Make it BAIM only.