MANB2113 Data Visualization & Interactive Design

This course is designed to provide students with the foundations necessary for understanding and extending the current state of the art in data visualization and interactive design.

At the end of this course, students are able to understand the connection
the key techniques and theory used in visualization, including data models, graphical perception and techniques for visual encoding and interaction, build and evaluate visualization systems, and create a project to engage in independent and lifelong learning to read and discuss research papers from the visualization literature.

This subject will introduce the latest tools best for visualization. As for today, based on gartner magic quadrat – this class is using tableau & alteryx combination in demonstrating the visualization.

1. Software of Tableau
 Get the free student’s license at https://www.tableau.com/academic/students
 Get the free instructor’s license at https://www.tableau.com/academic/teaching

2. Software of Alteryx
Get the free student’s license at https://www.alteryx.com/why-alteryx/alteryx-for-good

For next semester. The class will held on weekend. Please refer to this schedule TTable-Sem 2 2019-2020 MANB_update_13Jan. (bertabahlah kelas di bulan ramadhan)

The list of 24 students :
PT04: 02 (Malek)
PT06: 02 (Sakina, Manocher)
PT07: 20 (Ahmad Aizat, Fairuz, Aizat Nuruddin,
Azhar, Hasfarin, Jothi, Lohini, Lina, Tarmizi, Faiz,
Syafira, Nurin, Punitha, Pauline, Raffis, Rose,
Shahruzzaman, Shivapriya, Yan Kwai Seng,
Khadijah)

Reflection for Semester 2 20192020 Class (fifth cycle of MANB2113) Dec 2019

Congratulations dear students:

  A+ for the subject

  1. Tan Chun Kit (FT06)
  2. Mohd Shahrul Nadzmi bin Azman (FT06)
  3. Chong Syau Ying (PT06)
  4. Daeng Ahmad Zuhri bin Zuhud (PT06)
  5. Siti Amanina Farhanah binti Abdul Hakim (PT06)
  6. Syahirah binti Mohammad Basri (PT06)

    Best Project Presentation
 1.  Siti Sarah Azli Zuhairey (PT06) – able to visualize up to predictive visual analytics
2.  Daeng Ahmad Zuhri bin Zuhud (PT06) – combination between alteryx and network          visualization.
3.  Tan Chun Kit (FT06) – Comprehensive tooltip for dashboard.

Improvement for next semester:

  1. Do real-time short time survey in the first meeting. Lets hear the expectation from the students. https://www.menti.com/
PO1 – To design visualization solution, the course asked the students to design visualization based on pre-attentive, gestalt and cognitive theory. For next semester, the course will try to highlight tips – do and donts of visualization based on current design. E.g. How to highlight (emphasize) the hero/actor during storytelling.
PO3 – Currently, the course introduce and facilitate the students to demonstrate visualization through Tableau dan Alteryx tools. It is essential for students capable use variety of visualization tools but it is quite heavy to learn plus six times modular meeting
PO2 – For next semester, the course will introduce and focus for at least three new concept of visualization techniques – dynamic tooltips (during hover in tableau), arrow bar (benchmarking) and correlation. Then add elements of analytical reasoning in the modules
PO4  – The course embed CRISP-DM as basic methodology for BIA. Then highlight where we concentrate for visualization subject. Very useful for students to relate with other subject.
PO5 – It is very effective to embed CRISP-DM as the basic methodology for BIA. Students able to relate to other subjects.
PO6 – Focus/theme for the analytics domain. This semester is focus on learning analytics and educational data mining. The students able to dig deeper on the subject. Next semester we need to get a good dataset for better diagnostic/predictive visual analytics
In a summary, the improvement for next semester will be:
  • PO1 – Show examplary – tips, do and donts from current visualization design. Highlight what is wrong and how to improve it.
  • PO2 – Add elements of analytical reasoning in the subject
  • PO3 – Practice the tools in the evening session for each meeting
  • PO4 – CRISP-DM should be introduce with other subjects. Its very useful for students to relate to BIA as a general but at the same time quite heavy to handle each CRISP-DM phases in this subject alone.
    The students able to relate to other subject when using CRISP-DM during the class. Furthermore, the students are able to realize the benefit of understanding visualization for more effective analytics dasbhoard.
    PO6 – Focus/theme for the analytics domain. This semester is focus on learning analytics and educational data mining. The students able to dig deeper on the subject. Next semester we need to get a good dataset for better diagnostic/predictive visual analytics