COURSES
MBAData Science & AnalyticsDoctorate Software & Tech AI | ML MarketingManagement
Professional Certificate Programme in HR Management and AnalyticsPost Graduate Certificate in Product ManagementExecutive Post Graduate Program in Healthcare ManagementExecutive PG Programme in Human Resource ManagementMBA in International Finance (integrated with ACCA, UK)Global Master Certificate in Integrated Supply Chain ManagementAdvanced General Management ProgramManagement EssentialsLeadership and Management in New Age BusinessProduct Management Online Certificate ProgramStrategic Human Resources Leadership Cornell Certificate ProgramHuman Resources Management Certificate Program for Indian ExecutivesGlobal Professional Certificate in Effective Leadership and ManagementCSM® Certification TrainingCSPO® Certification TrainingLeading SAFe® 5.1 Training (SAFe® Agilist Certification)SAFe® 5.1 POPM CertificationSAFe® 5.1 Scrum Master Certification (SSM)Implementing SAFe® 5.1 with SPC CertificationSAFe® 5 Release Train Engineer (RTE) CertificationPMP® Certification TrainingPRINCE2® Foundation and Practitioner Certification
Law
Job Linked
Bootcamps
Study Abroad
MS in Data AnalyticsMS in Project ManagementMS in Information TechnologyMasters Degree in Data Analytics and VisualizationMasters Degree in Artificial IntelligenceMBS in Entrepreneurship and MarketingMSc in Data AnalyticsMS in Data AnalyticsMS in Computer ScienceMaster of Science in Business AnalyticsMaster of Business Administration MS in Data ScienceMS in Information TechnologyMaster of Business AdministrationMS in Applied Data ScienceMaster of Business Administration | STEMMS in Data AnalyticsM.Sc. Data Science (60 ECTS)Master of Business AdministrationMS in Information Technology and Administrative Management MS in Computer Science Master of Business Administration Master of Business Administration-90 ECTSMSc International Business ManagementMS Data Science Master of Business Administration MSc Business Intelligence and Data ScienceMS Data Analytics MS in Management Information SystemsMSc International Business and ManagementMS Engineering ManagementMS in Machine Learning EngineeringMS in Engineering ManagementMSc Data EngineeringMSc Artificial Intelligence EngineeringMPS in InformaticsMPS in Applied Machine IntelligenceMS in Project ManagementMPS in AnalyticsMS in Project ManagementMS in Organizational LeadershipMPS in Analytics - NEU CanadaMBA with specializationMPS in Informatics - NEU Canada Master in Business AdministrationMS in Digital Marketing and MediaMSc Sustainable Tourism and Event ManagementMSc in Circular Economy and Sustainable InnovationMSc in Impact Finance and Fintech ManagementMS Computer ScienceMS in Applied StatisticsMaster in Computer Information SystemsMBA in Technology, Innovation and EntrepreneurshipMSc Data Science with Work PlacementMSc Global Business Management with Work Placement MBA with Work PlacementMS in Robotics and Autonomous SystemsMS in Civil EngineeringMS in Internet of ThingsMSc International Logistics and Supply Chain ManagementMBA- Business InformaticsMSc International ManagementMBA in Strategic Data Driven ManagementMSc Digital MarketingMBA Business and MarketingMaster of Business AdministrationMSc in Sustainable Global Supply Chain ManagementMSc Digital Business Analytics MSc in International HospitalityMSc Luxury and Innovation ManagementMaster of Business Administration-International Business ManagementMS in Computer EngineeringMS in Industrial and Systems EngineeringMSc International Business ManagementMaster in ManagementMSc MarketingMSc Business ManagementMSc Global Supply Chain ManagementMS in Information Systems and Technology with Business Intelligence and Analytics ConcentrationMSc Corporate FinanceMSc Data Analytics for BusinessMaster of Business AdministrationMaster of Business AdministrationMaster of Business AdministrationMSc in International FinanceMSc in International Management and Global LeadershipMaster of Business AdministrationBachelor of BusinessMaster of Business Administration 60 ECTSMaster of Business Administration 90 ECTSMaster of Business Administration 90 ECTSBachelor of Business AnalyticsBachelor of Information TechnologyMaster of Business AdministrationMBA Business AnalyticsMSc in Marketing Analytics and Data IntelligenceMS Biotechnology Management and EntrepreneurshipMSc in Luxury and Fashion ManagementMaster of Business Administration (90 ECTS)Bachelor of Business Administration (180 ECTS)B.Sc. Computer Science (180 ECTS) MSc in International Corporate Finance MSc in Sustainable Luxury and Creative IndustriesMSc Digital MarketingMSc Global Supply Chain Management (PGMP)MSc Marketing (PGMP)MSc Corporate Finance (PGMP)MSc Data Analytics for Business (PGMP)MS Business AnalyticsMaster of Business AdministrationMS Quantitative FinanceMS Fintech Management
For College Students

Class, Attributes and Methods - All Concepts Explained

$$/$$

In the next video, you will see how to represent a class, its attributes and methods in a UML diagram.

$$/$$

The syntax for drawing a class is as follows:

 

 

 

Order class:

 

 

Some conventions to follow while drawing classes are as follows:

  • The class name is written using the Upper Camel Case convention. This means that a class name starts with a capital letter. If there are multiple words in the class name, then they should be joined together without spaces in between, and each word will start with a capital letter.
  • Attributes are written using the Lower Camel Case convention. This means that an attribute name starts with a small letter. If there are multiple words in it, they would be joined together without spaces in between, and each word will start with a capital letter.
  • Method names and parameters are also written using Lower Camel Case.
  • You need not show all the attributes and methods for a class in the class diagram; if you do, your class diagram will be too messy to comprehend.

 

Video Transcript

 

We will now see how to represent a class in a UML, a class diagram is represented as a rectangle with multiple compartments inside. The first compartment at the top shows the class name followed by the next compartment at below shows each of the attributes within the class. Below that, the last compartment at the bottom shows all the methods inside the class. Let's now take an example of a class and show how it will be represented. For example, if we take an order class, the order becomes the class name which is represented at the top. Let's say this order has an attribute called order ID. The order ID, which could be an integer, becomes an attribute or the property of the order class which could differ from each order. In this case, the order ID is generic as we said in the blueprint based on each order for each object, the order ID will change. The next would be the methods of that order class. For example, we could check the status of the order or the order name. So all these methods

 

corresponding to that order class is represented in the third rectangle at the bottom. So if you can see to summarize, a class diagram largely has three major compartments the top one, the class name the middle one with all the attributes or the properties along with their data types which could be like integer or String. And then lastly finally the method which showcases the method names along with the arguments or the properties of that methods along with the data type of those attributes arguments. 

 

Video Recap

 

  • A class diagram in UML represents a class as a rectangle with three compartments.

  • The top compartment shows the class name, the middle compartment shows the attributes or properties of the class, and the bottom compartment shows the methods of the class.

  • An example of a class is given, such as an order class with an attribute of order ID.

  • Methods for the order class, such as checking the status or name of the order, are represented in the bottom compartment.

  • In summary, a class diagram has three compartments for the class name, attributes, and methods. Attributes include data types like integer or string, and methods include arguments or properties with their data types.