Top 6 Apps Similar to Ktu Books
KTU Career centre 1.0.3
Get the app for the biggest job affairs and practices in “KTUCareerDays 2015”. Mobile application for „KTU Career Days 2015“event,held in Lithuania, Kaunas „Žalgiris“ arena on 24th ofFebruary. Withapplication you can: - View event schedule; - Findinformation aboutcompanies in the list of participants; - View mapand findcompanies' stand position; - Create and share personalbusinesscard; - Get notifications about event; - Contact with KTUCareercentre
KTU Latest Syllabus Free 0.0.1
KTU Latest Syllabus App has KTU's(APJAbdulKalam Technological University) latest BTech Syllabus inaneasyunderstandable format.Features of this appo No unwanted Permissionso Secureo No need to buy syllabus.o No internet connection required (Offline Syllabus)o Fast and Simpleo Download full syllabus option if you wanto Simple UI
KTU Schedule 1.2.1
Simple and easy to use application tokeeptrackyour lectures offline, requiring internet connection onlyforfirststart or language change!For login, students use their unified KTUregistrationsystemusername, docotrates - inside code, and lecturers-time-cardnumber.App shows whole semester from current week, butit'sstillrecommended to regullary update your schedule.Fully customize your lectures locally ondevice(delete,add,change).List of palaces and their locations with GoogleMapsintegrationfor freshman or ERASMUS students.Automatic updates.Highlighting current lecture, so you don’t need tobotherlookingat the clock and lecture time.
Data Structure and Algorithm 7
This free App on Data Structure covers most important topicswithfull Description using Easy example and Diagrams. this Subjectisvery Helpful in Exam, Viva, Gate. All Chapter are Related toeachother so after keeping it in mind all Content are ArrangedwithStep by Step. The best app for Exam, college and in programs.Ifyou are a student It will help to learn a lot. This usefulApplists 130 topics in 5 chapters, totally based on practical aswellas a strong base of theoretical knowledge with notes writteninvery simple and understandable English. Consider this App asaquick note guide which professors use in a classroom. The Appwillhelp in faster learning and quick revisions of all the topics.Someof the topics Covered in the app are: 1. Introduction toAlgorithms2. Efficiency of algorithm 3. Analysis of insertion sort4.Insertion sort 5. The divide-and-conquer approach 6.Analyzingdivide-and-conquer algorithms 7. Asymptotic notation 8.Asymptoticnotation in equations and inequalities 9. Standardnotations andcommon functions 10. The hiring problem 11. Indicatorrandomvariables 12. Balls and bins 13. Probabilistic analysis andfurtheruses of indicator random variables 14. Streaks 15. Theon-linehiring problem 16. Overview of Recurrences 17. Thesubstitutionmethod for recurrences 18. The recursion-tree method19. The mastermethod 20. Proof of the master theorem 21. The prooffor exactpowers 22. Floors and ceilings 23. Randomized algorithms24. Heaps25. Maintaining the heap property 26. Building a heap 27.Theheapsort algorithm 28. Priority queues 29. Description ofquicksort30. Performance of quicksort 31. A randomized version ofquicksort32. Analysis of quicksort 33. Lower bounds for sorting 34.Countingsort 35. Radix sort 36. Minimum and maximum 37. Selectioninexpected linear time 38. Bucket sort 39. Selection inworst-caselinear time 40. Stacks and queues 41. Linked lists 42.Implementingpointers and objects 43. Representing rooted trees44.Direct-address tables 45. Hash tables 46. Hash functions 47.Openaddressing 48. Perfect hashing 49. introduction to binarysearchtree 50. Querying a binary search tree 51. Insertion anddeletion52. Randomly built binary search trees 53. Red-Black Trees54.Rotations of red black tree 55. Insertion in red black tree56.Deletion in red black tree 57. Dynamic order statistics58.Augmenting a Data Structure 59. Interval Trees 60. OverviewofDynamic Programming 61. Assembly-line scheduling 62.Matrix-chainmultiplication 63. Elements of dynamic programming 64.Longestcommon subsequence 65. Optimal binary search trees 66.GreedyAlgorithms 67. Elements of the greedy strategy 68. Huffmancodes69. Theoretical foundations for greedy methods 70.Atask-scheduling problem 71. Aggregate analysis 72. Theaccountingmethod 73. The potential method 74. Dynamic tables 75.B-Trees 76.Definition of B-trees 77. Basic operations on B-trees78. Deletinga key from a B-tree 79. Binomial Heaps 80. Operationson binomialheaps 81. Fibonacci Heaps 82. Mergeable-heap operations83.Decreasing a key and deleting a node 84. Bounding themaximumdegree 85. Data Structures for Disjoint Sets 86.Linked-listrepresentation of disjoint sets 87. Disjoint-set forests88.Analysis of union by rank with path compression 89.Representationsof graphs 90. Breadth-first search 91. Depth-firstsearch 92.Topological sort 93. Strongly connected components 94.MinimumSpanning Trees 95. Growing a minimum spanning tree 96.Thealgorithms of Kruskal and Prim 97. Single-Source Shortest Paths98.The Bellman-Ford algorithm 99. Single-source shortest pathsindirected acyclic graphs 100. Dijkstra's algorithm 101.Differenceconstraints and shortest paths 102. Shortest paths andmatrixmultiplication 103. The Floyd-Warshall algorithm Algorithmsis partof computer science & software engineering educationcoursesand information technology degree programs of variousuniversities.
