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             MODULE HANDBOOK 
           DATA STRUCTURE 
           AND ALGORITHMS 
          
          
          
          
          
          
          
          
          
          
          
          
          
                                        
          
          
          
          
          
          
          
          
          
          
          
          
          
          
          
          
          
                                  BACHELOR DEGREE PROGRAM 
                                   DEPARTEMENT OF STATISTICS 
                FACULTY OF SCIENCE AND DATA ANALYTICS  
                       INSTITUT TEKNOLOGI SEPULUH NOPEMBER 
                                                                           
          
           
          
                                           
                  
                                                         ENDORSEMENT PAGE                                                                      
                  
                  
                  
                  
                                                                          MODULE HANDBOOK 
                                                                         DATA STRUCTURE AND 
                                                                                 ALGORITHMS 
                                                                      DEPARTMENT OF STATISTICS 
                                                                   INSTITUT TEKNOLOGI SEPULUH NOPEMBER 
                  
                  
                  
                  
                                                                     Penanggung Jawab                                  
                            Proses                                     Person in Charge                                         Tanggal 
                           Process                    Nama                   Jabatan             Tandatangan                      Date 
                                                      Name                  Position               Signature 
                    Perumus                   Dr. Kartika                Dosen                                             March 28, 2019 
                    Preparation               Fithriasari, M.Si          Lecturer                  
                    Pemeriksa dan             Dr. Kartika                Tim kurikulum                                      April 15, 2019 
                    Pengendalian              Fithriasari, M.Si          Curriculum              
                    Review and                                           team 
                    Control 
                    Persetujuan               Prof. NUR                  Koordinator                                         July 17, 2019 
                    Approval                  Iriawan                    RMK                   
                                                                         Course Cluster 
                                                                         Coordinator 
                    Penetapan                 Dr. Kartika                Kepala                                              July 30, 2019 
                    Determination             Fithriasari, M.Si          Departemen               
                                                                         Head of 
                                                                         Department 
                                                 MODULE HANDBOOK 
                                 DATA STRUCTURE AND ALGORITHMS 
                                                                                                                     
                    
                    Module name                Data Structure and Algorithms 
                    Module level               Undergraduate 
                    Code                       KS184528 
                    Course (if applicable)     Data Structure and Algorithms 
                    Semester                   Fifth Semester (Ganjil) 
                    Person responsible for  Dr. Kartika Fithriasari, M.Si 
                    the module 
                    Lecturer                   Dr. Kartika Fithriasari, M.Si 
                    Language                   Bahasa Indonesia and English 
                                                                                                th
                    Relation to curriculum  Undergradute degree program, mandatory, 5  semester. 
                    Type of teaching,          Lectures, <50 students 
                    contact hours 
                    Workload                    1.  Lectures : 2 x 50 = 100 minutes per week. 
                                                2.  Practicum : 90 minutes per week. 
                                                3.  Exercises and Assignments : 2 x 60 = 120 minutes (2 hours) 
                                                    per week. 
                                                4.  Private learning : 2 x 60 = 120 minutes (2 hours) per week 
                    Credit points              2 credit points (SKS) 
                    Requirements               A student must have attended at least 80% of the lectures to sit in 
                    according to the           the exams. 
                    examination 
                    regulations 
                    Mandatory                  Pemrograman Komputer/ Computer Programming  
                    prerequisites 
                    Learning outcomes          CPMK.1 Able to explain and apply the concept of Data            PLO – 1 
                    and their                  Structure for statistical analysis purposes                      
                    corresponding PLOs         CPMK.2 Able to explain Data Structure procedures                 
                                               CPMK.3 Able to apply Data Structure to analyze data and         PLO – 3 
                                               interpret it, such as doing data management, etc.                 
                                               CPMK.4 Able to identify, formulate, and solve statistical       PLO – 4 
                                               problems in the Data Structure field                             
                                               CPMK.5 Able to use computing techniques and modern               
                                               computer devices required in the field of statistics             
                                               CPMK.6 Have knowledge of current and future issues in           PLO – 5 
                                               order to be able to make the right decisions for the             
                                               preparation of data structures based on existing                 
                                               problems and able to communicate the results of analysis 
                                               both verbally and in writing 
                                               CPMK.7 Able to communicate effectively and cooperate 
                                               in interdisciplinary and multidisciplinary teams 
                                                                                          
                                                                                                                                                                                                                            CPMK.8 Has professional responsibilities and ethics 
                                                                                                                                                                                                                            CPMK.9 Able to motivate yourself to think creatively and 
                                                                                                                                                                                                                            learn throughout life 
                                                                                               Content                                                                                                                      The data structure course discusses the dynamic arrangement of 
                                                                                                                                                                                                                            data. The basic knowledge that students must have is 
                                                                                                                                                                                                                            programming knowledge. This course is useful for compiling 
                                                                                                                                                                                                                            simulation result data. Stack material provides an overview of data 
                                                                                                                                                                                                                            processing if the arrangement of data is stacked, pointer, queue 
                                                                                                                                                                                                                            and list material provides an overview of data processing 
                                                                                                                                                                                                                            sequentially. Material Tree, sort graph and search are useful for 
                                                                                                                                                                                                                            sorting data. 
                                                                                               Study and                                                                                                                                             •                 In-class exercises 
                                                                                               examination                                                                                                                                           •                 Assignment 1, 2, 3 
                                                                                               requirements and                                                                                                                                      •                 Mid-term examination 
                                                                                               forms of examination                                                                                                                                  •                 Final examination 
                                                                                               Media employed                                                                                                               LCD, whiteboard, websites (myITS Classroom), zoom. 
                                                                                               Reading list                                                                                                                                    1.  Goodrich, Tamassia and Goldwasser. 2013. Data Structures 
                                                                                                                                                                                                                                                                  and Algorithms in Python. ISBN: 978-1-118-29027-9. 
                                                                                                                                                                                                                                               2.  Lee, Kent D. and Hubbard, Steve. 2015. Data Structures and 
                                                                                                                                                                                                                                                                  Algorithms with Python. ISSN 1863-7310 DOI 10.1007/978-
                                                                                                                                                                                                                                                                  3-319-13072-9.  
                                                                                                                                                                                                                                               3.  Shaffer, Clifford A. 2012. Data Structures and Algorithm 
                                                                                                                                                                                                                                                                  Analysis in C++. 3rd edition. ISBN: 048648582X and 
                                                                                                                                                                                                                                                                  9780486485829. 
                                                                                                                                                                                                                                               4.  Weiss, M. A. and Wesley,Addison. 2007. Data Structures 
                                                                                                                                                                                                                                                                  and Algorithm Analysis in C++. 3rd edition. ISBN-10: 
                                                                                                                                                                                                                                                                  032144146X dan ISBN-13: 9780321441461 .