BINUS University Curriculum Center
People Innovation Excellence
Learning Outcomes : Upon successful completion of this course, students are expected to be able to explain and apply basic techniques to present and summarize data using descriptive statistics and a...
Learning Outcomes: Upon completion of this course, students are expected to be able to: explain and apply basic techniques in hypothesis testing more than two samples; explain and apply basic techniq...
Learning Outcomes: On successful completion of this course, students will be able to: Calculate the statistical measurement and qualitative data using graph; Calculate probability and expectation and...
Learning Outcomes: On successful completion of this course, students will be able to: LO1 - Explain statistical principles in food science and technology applications; LO2 - Employ appropriate data c...
Learning Outcomes: On successful completion of this course, students will be able to: identify features of empirical approach in research; demonstrate basic statistical analysis on given data; ...
Learning Outcomes On successful completion of this course, students will be able to: Perform basics statistics Microsoft Excel; Interpret the output of basic statistics using Microsoft Excel; Apply M...
Learning Outcomes On successful completion of this course, student will be able to: Describe methods of multivariate statistics, Operate methods of multivariate statistics in analyzing data using R, ...
Learning outcome: On successful completion of this course, students will be able to: describe the basic concepts of descriptive and inferential statistics; calculate relevant engineering problems usi...
Learning Outcomes: On successful completion of this course students will be able to: Apply knowledge about Descriptive and Inference statistics in food technology problem; Calculate relevant food t...
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