كلية الهندسة - جامعة عين شمس, الرئيسية

الرئيسية  >  كلية الهندسة - جامعة عين شمس, الرئيسية

Visualization

What Will Learn?

  • Course Aims
    • Demonstrate knowledge and understanding of different information representation techniques • Recognize the different types of plots and suitability of each • Select the appropriate plotting and data representation techniques in each case • Demonstrate knowledge and understanding of human machine interaction • Perform practical data representation and coding to best represent different data sets The student shall attain the above mentioned objectives efficiently under controlled guidance and supervision.
  • Course Goals
  • Decent Work and Economic Growth
  • Industry, Innovation and Infrastructure
  • Sustainable Cities and Communities

Requirements

CSE383

Description

  • English Description

    Perception and its applications. Graphical perception. Visual encoding principles. Interaction principles. Single-view methods. Multiple-view methods. Item reduction methods. Attribute reduction methods. Tabular data. Visualization toolkits. Graphs and trees. Flow visualization. Geo-spatial visualization. Volume visualization. Vector visualization. High-dimensional Visualization. Visualizing relational data. Design and evaluation. Visualizing structure. Visualizing time. Scaling.
  • Arabic Description

    Perception and its applications. Graphical perception. Visual encoding principles. Interaction principles. Single-view methods. Multiple-view methods. Item reduction methods. Attribute reduction methods. Tabular data. Visualization toolkits. Graphs and trees. Flow visualization. Geo-spatial visualization. Volume visualization. Vector visualization. High-dimensional Visualization. Visualizing relational data. Design and evaluation. Visualizing structure. Visualizing time. Scaling.
  • قسم
    هندسة الحاسبات والنظم
  • الساعات المعتمدة
    3
  • الدرجات
    الإجمالي ( 100 ) = نصف العام (25) + tr.Major Assessment (30 = tr.Industry 0% , tr.Project 15% , tr.Self_learning 5% , tr.Seminar 15% ) + tr.Minor Assessment (5) + درجة الامتحان (40)
  • الساعات
    ساعات المحاضرة: 2, ساعات التعليم: 2, ساعات المعمل: 0
  • Required SWL
    125
  • Equivalent ECTS
    5
  • Ward, Matthew O., Georges Grinstein, and Daniel Keim. Interactive data visualization: foundations, techniques, and applications. AK Peters/CRC Press, 2010.
  • Dykes, Brent. Effective data storytelling: how to drive change with data, narrative and visuals. John Wiley & Sons, 2019.
  • Daniel Nelson. Data visualization in Python. 2020.